International US Foreign Currency Exchange Rates Predictor

Author: Andrew Tran

Blog Post Inspiration and Objectives

In this blog post, I was hoping to investigate using Machine Learning to make a financial prediction system. Initially, I was hoping to imitate the ones used for stock prediction. However, since there were too many tutorials on this topic, I decided to investigate another global, financial factor that governs trade internationally: international currency rates. In the news recently, I have heard rumors of how the international standard of utilizing the US dollar could be compromised with other global powers such as China and India rise in global dominance. Thus, I focused my efforts on analyzing the US currency conversion rates to other countries. With that said, let’s try to analyze this topic with some Machine Learning:

Data Preprocessing - Cleaning and Analytics

```{python}
# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
from tensorflow.keras import layers
from copy import deepcopy
import datetime as dt
plt.style.use("fivethirtyeight")
```

First, we will read and display the initial dataset in our file system for this blog post, downloaded from Kaggle. This dataset contains loads of valuable information such as almost every major world power’s international US currency conversion rate.

```{python}
# Reading and displaying the initial dataset
df = pd.read_csv("datasets/foreign_exchange_rates.csv")
df
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 24 columns

For clarity on the constraints and parameters of the working datasets, I went to find high-level exploratory statistics on all of the datasets: shape, information about all of the entries, etc.

```{python}
# Determining the shape of the initial dataset
df.shape
```

(5217, 24)

```{python}
# Getting a sample of the initial dataset through the seeing the first 10 entries
# completely in the dataset
df.head()
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3

5 rows × 24 columns

```{python}
# Figuring out all of the columns (and their names) available for me to use in the dataset
df.columns
```

Index(['Unnamed: 0', 'Time Serie', 'AUSTRALIA - AUSTRALIAN DOLLAR/US$',
       'EURO AREA - EURO/US$', 'NEW ZEALAND - NEW ZELAND DOLLAR/US$',
       'UNITED KINGDOM - UNITED KINGDOM POUND/US$', 'BRAZIL - REAL/US$',
       'CANADA - CANADIAN DOLLAR/US$', 'CHINA - YUAN/US$',
       'HONG KONG - HONG KONG DOLLAR/US$', 'INDIA - INDIAN RUPEE/US$',
       'KOREA - WON/US$', 'MEXICO - MEXICAN PESO/US$',
       'SOUTH AFRICA - RAND/US$', 'SINGAPORE - SINGAPORE DOLLAR/US$',
       'DENMARK - DANISH KRONE/US$', 'JAPAN - YEN/US$',
       'MALAYSIA - RINGGIT/US$', 'NORWAY - NORWEGIAN KRONE/US$',
       'SWEDEN - KRONA/US$', 'SRI LANKA - SRI LANKAN RUPEE/US$',
       'SWITZERLAND - FRANC/US$', 'TAIWAN - NEW TAIWAN DOLLAR/US$',
       'THAILAND - BAHT/US$'],
      dtype='object')

```{python}
# Figuring out the number of duplicated elements in the dataset
# (could be problematic if not resolved)
df.duplicated().sum()
```

0

```{python}
# Figuring out the number of 'null'/'NaN' elements in the dataset 
# (if NaN filling is needed or not)
(df.isnull().sum() / df.shape[0]) * 100
```

Unnamed: 0                                   0.0
Time Serie                                   0.0
AUSTRALIA - AUSTRALIAN DOLLAR/US$            0.0
EURO AREA - EURO/US$                         0.0
NEW ZEALAND - NEW ZELAND DOLLAR/US$          0.0
UNITED KINGDOM - UNITED KINGDOM POUND/US$    0.0
BRAZIL - REAL/US$                            0.0
CANADA - CANADIAN DOLLAR/US$                 0.0
CHINA - YUAN/US$                             0.0
HONG KONG - HONG KONG DOLLAR/US$             0.0
INDIA - INDIAN RUPEE/US$                     0.0
KOREA - WON/US$                              0.0
MEXICO - MEXICAN PESO/US$                    0.0
SOUTH AFRICA - RAND/US$                      0.0
SINGAPORE - SINGAPORE DOLLAR/US$             0.0
DENMARK - DANISH KRONE/US$                   0.0
JAPAN - YEN/US$                              0.0
MALAYSIA - RINGGIT/US$                       0.0
NORWAY - NORWEGIAN KRONE/US$                 0.0
SWEDEN - KRONA/US$                           0.0
SRI LANKA - SRI LANKAN RUPEE/US$             0.0
SWITZERLAND - FRANC/US$                      0.0
TAIWAN - NEW TAIWAN DOLLAR/US$               0.0
THAILAND - BAHT/US$                          0.0
dtype: float64

```{python}
# Getting basic information about the dataset
df.info()
```

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5217 entries, 0 to 5216
Data columns (total 24 columns):
 #   Column                                     Non-Null Count  Dtype 
---  ------                                     --------------  ----- 
 0   Unnamed: 0                                 5217 non-null   int64 
 1   Time Serie                                 5217 non-null   object
 2   AUSTRALIA - AUSTRALIAN DOLLAR/US$          5217 non-null   object
 3   EURO AREA - EURO/US$                       5217 non-null   object
 4   NEW ZEALAND - NEW ZELAND DOLLAR/US$        5217 non-null   object
 5   UNITED KINGDOM - UNITED KINGDOM POUND/US$  5217 non-null   object
 6   BRAZIL - REAL/US$                          5217 non-null   object
 7   CANADA - CANADIAN DOLLAR/US$               5217 non-null   object
 8   CHINA - YUAN/US$                           5217 non-null   object
 9   HONG KONG - HONG KONG DOLLAR/US$           5217 non-null   object
 10  INDIA - INDIAN RUPEE/US$                   5217 non-null   object
 11  KOREA - WON/US$                            5217 non-null   object
 12  MEXICO - MEXICAN PESO/US$                  5217 non-null   object
 13  SOUTH AFRICA - RAND/US$                    5217 non-null   object
 14  SINGAPORE - SINGAPORE DOLLAR/US$           5217 non-null   object
 15  DENMARK - DANISH KRONE/US$                 5217 non-null   object
 16  JAPAN - YEN/US$                            5217 non-null   object
 17  MALAYSIA - RINGGIT/US$                     5217 non-null   object
 18  NORWAY - NORWEGIAN KRONE/US$               5217 non-null   object
 19  SWEDEN - KRONA/US$                         5217 non-null   object
 20  SRI LANKA - SRI LANKAN RUPEE/US$           5217 non-null   object
 21  SWITZERLAND - FRANC/US$                    5217 non-null   object
 22  TAIWAN - NEW TAIWAN DOLLAR/US$             5217 non-null   object
 23  THAILAND - BAHT/US$                        5217 non-null   object
dtypes: int64(1), object(23)
memory usage: 978.3+ KB

Additionally, before handing my combined Book dataset over for Machine Learning training and prediction, I need to clean the data prior to the analysis stage: removing duplicates, deleting null/NaN vales, fixing types of columns, filling invalid values with suitable alternatives, etc.

```{python}
# Removing unnecessary/unnamed columns in the dataset
df = df.drop("Unnamed: 0", axis=1)
df
```

	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	INDIA - INDIAN RUPEE/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	43.55	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	43.55	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	43.55	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	43.55	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	43.55	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	71.28	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	71.45	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	71.3	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	71.36	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 23 columns

```{python}
# Converting the date column into a string representation to a parsable
# Datetime object (needed for later)
df = df.rename(columns={"Time Serie": "DATE"})

def str_to_datetime(date_str: str):
    split = tuple(date_str.split("-"))
    year, month, day = int(split[0]), int(split[1]), int(split[2])
    return dt.datetime(year, month, day)

df["DATE"] = df["DATE"].apply(str_to_datetime)
df["DATE"]
```

0      2000-01-03
1      2000-01-04
2      2000-01-05
3      2000-01-06
4      2000-01-07
          ...    
5212   2019-12-25
5213   2019-12-26
5214   2019-12-27
5215   2019-12-30
5216   2019-12-31
Name: DATE, Length: 5217, dtype: datetime64[ns]

As shown below, I had decided to filter out all of the countries except Austrailia, Canada, the United Kingdom, and Switzerland because those countries had the most stable and consistent international currency rates as well as the most comparable (1:1) currency rates with the United States. One additional reason that these countries were selected for this blog post was do the geographical diversity covered most landmass continents across the world, representative of the global market interactions that the United States deals with on a day-to-day basis.

```{python}
# Making the "Date" column the new index (better identifer/key in dataset)
# Taking out other countries except Austrailia, Canada, UK, and 
# Switzerland from dataset for Machine Learning blog post
df.index = df.pop("DATE")
df = df[["AUSTRALIA - AUSTRALIAN DOLLAR/US$", 
         "CANADA - CANADIAN DOLLAR/US$",
         "UNITED KINGDOM - UNITED KINGDOM POUND/US$",
         "SWITZERLAND - FRANC/US$"]]
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.5172	1.4465	0.6146	1.5808
2000-01-04	1.5239	1.4518	0.6109	1.5565
2000-01-05	1.5267	1.4518	0.6092	1.5526
2000-01-06	1.5291	1.4571	0.607	1.554
2000-01-07	1.5272	1.4505	0.6104	1.5623
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.4411	1.3124	0.7688	0.9808
2019-12-27	1.4331	1.3073	0.7639	0.9741
2019-12-30	1.4278	1.3058	0.761	0.9677
2019-12-31	1.4225	1.2962	0.7536	0.9677

5217 rows × 4 columns

```{python}
# Converting of all numerical international currency rates to 2-decimal 
# rates (easier to work with for later)
for col in df:
    df[col] = df[col].map(lambda entry: entry if entry == "ND" else round(float(entry), 2))
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5217 rows × 4 columns

```{python}
# Removing all of the dated rows that contains "ND" as a way to avoid problems 
# when trying to interlay Machine Learning algorithms that require only
# quantitative data with categorical entries
nd_index_list: set[str] = set()
for row_index, _ in df.iterrows():
    for col_entry in df.loc[row_index]:
        if col_entry == "ND":
             nd_index_list.add(row_index)

df = df.drop(labels=list(nd_index_list), axis=0)
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-24	1.44	1.32	0.77	0.98
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5019 rows × 4 columns

As shown in the code snippet below, with some online references, the df_to_windowed_df function describes a way to use prediction values. A new international currency rate dataframe is created which includes the rows encompassing the 3 previous dates prior to the current date of when the international currency rate was reported as well as the current rate that day. This would be helpful for later Machine Learning predictions because the previous 3 dates and the current will provide it enough context to make more insightful predictions on the future of the international currency rates between that respective country specified and the United States. Later, as you will see, the 3 previous days are going to be the input and the current currency rate (Target) will be our output.

```{python}
def df_to_windowed_df(data_frame: pd.DataFrame, first_date_str: str, last_date_str: str, n: int, col_name: str):
    first_date = str_to_datetime(first_date_str)
    last_date = str_to_datetime(last_date_str)
    
    target_date = first_date
    
    dates: list = []
    X: list = []
    Y: list = []
    
    last_time = False
    while True:
        df_subset = data_frame.loc[:target_date].tail(n + 1)
        
        if (len(df_subset) != n + 1):
            print("Error: Window of size " + str(n) + " is too large for date " + str(target_date))
            return
        
        values = df_subset[col_name].to_numpy()
        x, y = values[:-1], values[-1]
        
        dates.append(target_date)
        X.append(x)
        Y.append(y)
        
        next_week = data_frame.loc[target_date:target_date + dt.timedelta(days=7)]
        next_datetime_str = str(next_week.head(2).tail(1).index.values[0])
        next_date_str = next_datetime_str.split("T")[0]
        year_month_day = next_date_str.split("-")
        year, month, day = year_month_day
        next_date = dt.datetime(year=int(year), month=int(month), day=int(day))
        
        if last_time:
            break
        
        target_date = next_date
        if (target_date == last_date):
            last_time = True
    
    returned_df = pd.DataFrame({})
    returned_df["Target Date"] = dates
    
    X = np.array(X)
    for i in range(0, n):
        X[:, i]
        returned_df["Target-" + str(n - i)] = X[:, i]
    returned_df["Target"] = Y
    
    return returned_df 
```

Thus, with the df_to_windowed_df function created, we created one for every country to later use for Machine Learning model training and eventual predictions of future rates: Austrailia, Canada, the United Kingdom, and Switzerland.

```{python}
# Convert Austrailia's dataframe to a windowed dataframe
windowed_df_austrailia = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="AUSTRALIA - AUSTRALIAN DOLLAR/US$")
windowed_df_austrailia  
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.52	1.52	1.53	1.53
1	2000-01-07	1.52	1.53	1.53	1.53
2	2000-01-10	1.53	1.53	1.53	1.52
3	2000-01-11	1.53	1.53	1.52	1.52
4	2000-01-12	1.53	1.52	1.52	1.52
...	...	...	...	...	...
5011	2019-12-24	1.45	1.45	1.45	1.44
5012	2019-12-26	1.45	1.45	1.44	1.44
5013	2019-12-27	1.45	1.44	1.44	1.43
5014	2019-12-30	1.44	1.44	1.43	1.43
5015	2019-12-31	1.44	1.43	1.43	1.42

5016 rows × 5 columns

```{python}
# Convert Canada's dataframe to a windowed dataframe
windowed_df_canada = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="CANADA - CANADIAN DOLLAR/US$")
windowed_df_canada
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.45	1.45	1.45	1.46
1	2000-01-07	1.45	1.45	1.46	1.45
2	2000-01-10	1.45	1.46	1.45	1.46
3	2000-01-11	1.46	1.45	1.46	1.46
4	2000-01-12	1.45	1.46	1.46	1.46
...	...	...	...	...	...
5011	2019-12-24	1.31	1.32	1.32	1.32
5012	2019-12-26	1.32	1.32	1.32	1.31
5013	2019-12-27	1.32	1.32	1.31	1.31
5014	2019-12-30	1.32	1.31	1.31	1.31
5015	2019-12-31	1.31	1.31	1.31	1.30

5016 rows × 5 columns

```{python}
# Convert United Kingdom's dataframe to a windowed dataframe
windowed_df_united_kingdom = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="UNITED KINGDOM - UNITED KINGDOM POUND/US$")
windowed_df_united_kingdom
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	0.61	0.61	0.61	0.61
1	2000-01-07	0.61	0.61	0.61	0.61
2	2000-01-10	0.61	0.61	0.61	0.61
3	2000-01-11	0.61	0.61	0.61	0.61
4	2000-01-12	0.61	0.61	0.61	0.61
...	...	...	...	...	...
5011	2019-12-24	0.77	0.77	0.77	0.77
5012	2019-12-26	0.77	0.77	0.77	0.77
5013	2019-12-27	0.77	0.77	0.77	0.76
5014	2019-12-30	0.77	0.77	0.76	0.76
5015	2019-12-31	0.77	0.76	0.76	0.75

5016 rows × 5 columns

```{python}
# Convert Switzerland's dataframe to a windowed dataframe
windowed_df_switzerland = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="SWITZERLAND - FRANC/US$")
windowed_df_switzerland
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.58	1.56	1.55	1.55
1	2000-01-07	1.56	1.55	1.55	1.56
2	2000-01-10	1.55	1.55	1.56	1.57
3	2000-01-11	1.55	1.56	1.57	1.56
4	2000-01-12	1.56	1.57	1.56	1.57
...	...	...	...	...	...
5011	2019-12-24	0.98	0.98	0.98	0.98
5012	2019-12-26	0.98	0.98	0.98	0.98
5013	2019-12-27	0.98	0.98	0.98	0.97
5014	2019-12-30	0.98	0.98	0.97	0.97
5015	2019-12-31	0.98	0.97	0.97	0.97

5016 rows × 5 columns

As the Machine Learning model that will be used later in this blog post only accepts numpy arrays, we need to extract each of the following quantities from each respective country’s dataframe: the dates as an np.array, the X-values for input as an 3-dimensional np.array, and the Y-values for output as an np.array. Thus, with some online references, our codebase now has a function called windowed_df_to_date_X_y as shown below to account for this needed transformation.

```{python}
def windowed_df_to_date_X_y(windowed_dataframe: pd.DataFrame):
    df_as_np = windowed_dataframe.to_numpy()
    
    dates = df_as_np[:, 0]
    
    middle_matrix = df_as_np[:, 1:-1]
    X = middle_matrix.reshape((len(dates), middle_matrix.shape[1], 1))
    Y = df_as_np[:, -1]
    
    return dates, X.astype(np.float32), Y.astype(np.float32)

dates_austrailia, X_austrailia, y_austrailia = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_austrailia)
dates_canada, X_canada, y_canada = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_canada)
dates_united_kingdom, X_united_kingdom, y_united_kingdom = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_united_kingdom)
dates_switzerland, X_switzerland, y_switzerland = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_switzerland)

print(dates_austrailia.shape, X_austrailia.shape, y_austrailia.shape)
print(dates_canada.shape, X_canada.shape, y_canada.shape)
print(dates_united_kingdom.shape, X_united_kingdom.shape, y_united_kingdom.shape)
print(dates_switzerland.shape, X_switzerland.shape, y_switzerland.shape)
len(windowed_df_austrailia), len(windowed_df_canada), len(windowed_df_united_kingdom), len(windowed_df_switzerland)
```

(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)

(5016, 5016, 5016, 5016)

Here, I am trying to a visualization of the cleaned dataset before we pass it over for Machine Learning training and prediction. To show the rate of change for the International Currency Rates for Austrailia, Canada, the United Kingdom, and Switzerland over the 20-year period as collected in the data set, I put together a line graph as shown below.

```{python}
# Plotting the each four countries currency rates (per US dollar) from 
# 2000 - 2020
plt.plot(df.index, df["AUSTRALIA - AUSTRALIAN DOLLAR/US$"], label="AUS to USD", linewidth=1)
plt.plot(df.index, df[ "CANADA - CANADIAN DOLLAR/US$"], label="CAN to USD", linewidth=1)
plt.plot(df.index, df["UNITED KINGDOM - UNITED KINGDOM POUND/US$"], label="GBR to USD", linewidth=1)
plt.plot(df.index, df["SWITZERLAND - FRANC/US$"], label="CHE to USD", linewidth=1)

plt.legend(loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date", fontsize=12)
plt.ylabel("Currency Rate of the Respective Country to USD", fontsize=12)
plt.title("Culmination of the All Four Countries' Datasets - After Parsing But Before Machine Learning Alterations")
plt.show()
```

Machine Learning - Model Training and Evaluation

Great, now we are onto the Machine Learning part of the blog post!

For this blog post, I worked to create Machine Learning models for each country’s dataset separately. I started with Austrailia’s data first (as shown below):

```{python}
# Getting the location of the 80th and 90th percentile of the number of points 
# in the dataset for later train, vailidation, and test category splitting
percentile_80 = int(len(windowed_df_austrailia) * 0.8)
percentile_90 = int(len(windowed_df_austrailia) * 0.9)
percentile_80, percentile_90
```

(4012, 4514)

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Austrailia’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively. This split should be acceptable because I did not mix-and-match training & validation datasets with my testing datasets, wihch would invalidate my entire Machine Learning model. Additionally, looking at the presented in the validation and testing datasets, the range of these respective datasets have been reached before in my training dataset, meaning I anticipated my model should be able to reasonably predict these expected ranges with considerable accuracy.

```{python}
# Splitting Austrailia's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_austrailia_train, X_austrailia_train, y_austrailia_train = dates_austrailia[:percentile_80], X_austrailia[:percentile_80], y_austrailia[:percentile_80]
dates_austrailia_val, X_austrailia_val, y_austrailia_val = dates_austrailia[percentile_80:percentile_90], X_austrailia[percentile_80:percentile_90], y_austrailia[percentile_80:percentile_90]
dates_austrailia_test, X_austrailia_test, y_austrailia_test = dates_austrailia[percentile_90:], X_austrailia[percentile_90:], y_austrailia[percentile_90:]

plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Austrailia's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Austrailia
austrailia_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

austrailia_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

austrailia_model.fit(X_austrailia_train, y_austrailia_train, validation_data=(X_austrailia_val, y_austrailia_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:43 - loss: 1.6632 - mean_absolute_error: 1.2566 22/126 [====>.........................] - ETA: 0s - loss: 1.0376 - mean_absolute_error: 0.9697   47/126 [==========>...................] - ETA: 0s - loss: 0.5183 - mean_absolute_error: 0.5631 72/126 [================>.............] - ETA: 0s - loss: 0.3419 - mean_absolute_error: 0.3957 95/126 [=====================>........] - ETA: 0s - loss: 0.2604 - mean_absolute_error: 0.3145122/126 [============================>.] - ETA: 0s - loss: 0.2037 - mean_absolute_error: 0.2565126/126 [==============================] - 2s 6ms/step - loss: 0.1983 - mean_absolute_error: 0.2508 - val_loss: 2.0737e-04 - val_mean_absolute_error: 0.0119
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0027 - mean_absolute_error: 0.0451 24/126 [====>.........................] - ETA: 0s - loss: 0.0027 - mean_absolute_error: 0.0436 51/126 [===========>..................] - ETA: 0s - loss: 0.0023 - mean_absolute_error: 0.0402 78/126 [=================>............] - ETA: 0s - loss: 0.0020 - mean_absolute_error: 0.0370105/126 [========================>.....] - ETA: 0s - loss: 0.0017 - mean_absolute_error: 0.0332126/126 [==============================] - 0s 2ms/step - loss: 0.0015 - mean_absolute_error: 0.0309 - val_loss: 1.2019e-04 - val_mean_absolute_error: 0.0086
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 6.9651e-04 - mean_absolute_error: 0.0200 18/126 [===>..........................] - ETA: 0s - loss: 4.4408e-04 - mean_absolute_error: 0.0164 40/126 [========>.....................] - ETA: 0s - loss: 3.8190e-04 - mean_absolute_error: 0.0152 64/126 [==============>...............] - ETA: 0s - loss: 3.3547e-04 - mean_absolute_error: 0.0141 88/126 [===================>..........] - ETA: 0s - loss: 3.1977e-04 - mean_absolute_error: 0.0137114/126 [==========================>...] - ETA: 0s - loss: 3.1139e-04 - mean_absolute_error: 0.0133126/126 [==============================] - 0s 3ms/step - loss: 3.0570e-04 - mean_absolute_error: 0.0131 - val_loss: 1.1998e-04 - val_mean_absolute_error: 0.0086
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 1.9184e-04 - mean_absolute_error: 0.0099 27/126 [=====>........................] - ETA: 0s - loss: 2.7299e-04 - mean_absolute_error: 0.0122 54/126 [===========>..................] - ETA: 0s - loss: 2.7429e-04 - mean_absolute_error: 0.0120 81/126 [==================>...........] - ETA: 0s - loss: 2.6023e-04 - mean_absolute_error: 0.0118108/126 [========================>.....] - ETA: 0s - loss: 2.5359e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5247e-04 - mean_absolute_error: 0.0115 - val_loss: 1.6786e-04 - val_mean_absolute_error: 0.0102
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 2.0272e-04 - mean_absolute_error: 0.0105 18/126 [===>..........................] - ETA: 0s - loss: 2.2329e-04 - mean_absolute_error: 0.0110 43/126 [=========>....................] - ETA: 0s - loss: 2.8086e-04 - mean_absolute_error: 0.0117 70/126 [===============>..............] - ETA: 0s - loss: 2.6535e-04 - mean_absolute_error: 0.0116 97/126 [======================>.......] - ETA: 0s - loss: 2.4692e-04 - mean_absolute_error: 0.0113123/126 [============================>.] - ETA: 0s - loss: 2.5187e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.5150e-04 - mean_absolute_error: 0.0114 - val_loss: 1.7990e-04 - val_mean_absolute_error: 0.0106
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 3.0955e-04 - mean_absolute_error: 0.0104 19/126 [===>..........................] - ETA: 0s - loss: 2.2537e-04 - mean_absolute_error: 0.0113 44/126 [=========>....................] - ETA: 0s - loss: 2.3798e-04 - mean_absolute_error: 0.0112 70/126 [===============>..............] - ETA: 0s - loss: 2.5070e-04 - mean_absolute_error: 0.0115 93/126 [=====================>........] - ETA: 0s - loss: 2.5897e-04 - mean_absolute_error: 0.0116115/126 [==========================>...] - ETA: 0s - loss: 2.5719e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5673e-04 - mean_absolute_error: 0.0116 - val_loss: 1.8876e-04 - val_mean_absolute_error: 0.0109
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 3.6583e-04 - mean_absolute_error: 0.0126 20/126 [===>..........................] - ETA: 0s - loss: 2.3947e-04 - mean_absolute_error: 0.0117 43/126 [=========>....................] - ETA: 0s - loss: 2.5182e-04 - mean_absolute_error: 0.0117 66/126 [==============>...............] - ETA: 0s - loss: 2.5350e-04 - mean_absolute_error: 0.0115 87/126 [===================>..........] - ETA: 0s - loss: 2.4955e-04 - mean_absolute_error: 0.0114109/126 [========================>.....] - ETA: 0s - loss: 2.5056e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5031e-04 - mean_absolute_error: 0.0114 - val_loss: 1.2211e-04 - val_mean_absolute_error: 0.0088
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.6110e-04 - mean_absolute_error: 0.0106 25/126 [====>.........................] - ETA: 0s - loss: 2.4246e-04 - mean_absolute_error: 0.0112 49/126 [==========>...................] - ETA: 0s - loss: 2.4049e-04 - mean_absolute_error: 0.0111 73/126 [================>.............] - ETA: 0s - loss: 2.4380e-04 - mean_absolute_error: 0.0113 97/126 [======================>.......] - ETA: 0s - loss: 2.3600e-04 - mean_absolute_error: 0.0112121/126 [===========================>..] - ETA: 0s - loss: 2.4982e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 2ms/step - loss: 2.4999e-04 - mean_absolute_error: 0.0113 - val_loss: 1.3858e-04 - val_mean_absolute_error: 0.0092
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 2.1646e-04 - mean_absolute_error: 0.0114 22/126 [====>.........................] - ETA: 0s - loss: 2.2904e-04 - mean_absolute_error: 0.0116 43/126 [=========>....................] - ETA: 0s - loss: 2.4720e-04 - mean_absolute_error: 0.0114 63/126 [==============>...............] - ETA: 0s - loss: 2.6250e-04 - mean_absolute_error: 0.0115 82/126 [==================>...........] - ETA: 0s - loss: 2.5868e-04 - mean_absolute_error: 0.0114103/126 [=======================>......] - ETA: 0s - loss: 2.5506e-04 - mean_absolute_error: 0.0115125/126 [============================>.] - ETA: 0s - loss: 2.5076e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5050e-04 - mean_absolute_error: 0.0114 - val_loss: 1.3315e-04 - val_mean_absolute_error: 0.0092
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 2.6375e-04 - mean_absolute_error: 0.0132 23/126 [====>.........................] - ETA: 0s - loss: 2.7872e-04 - mean_absolute_error: 0.0126 45/126 [=========>....................] - ETA: 0s - loss: 2.7409e-04 - mean_absolute_error: 0.0122 67/126 [==============>...............] - ETA: 0s - loss: 2.8578e-04 - mean_absolute_error: 0.0123 90/126 [====================>.........] - ETA: 0s - loss: 2.7294e-04 - mean_absolute_error: 0.0120114/126 [==========================>...] - ETA: 0s - loss: 2.6217e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5993e-04 - mean_absolute_error: 0.0117 - val_loss: 1.2010e-04 - val_mean_absolute_error: 0.0086
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 3.1949e-04 - mean_absolute_error: 0.0128 18/126 [===>..........................] - ETA: 0s - loss: 2.7208e-04 - mean_absolute_error: 0.0114 40/126 [========>.....................] - ETA: 0s - loss: 2.5451e-04 - mean_absolute_error: 0.0113 64/126 [==============>...............] - ETA: 0s - loss: 2.5067e-04 - mean_absolute_error: 0.0112 88/126 [===================>..........] - ETA: 0s - loss: 2.4854e-04 - mean_absolute_error: 0.0113112/126 [=========================>....] - ETA: 0s - loss: 2.4528e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.4849e-04 - mean_absolute_error: 0.0113 - val_loss: 1.9304e-04 - val_mean_absolute_error: 0.0114
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 3.4775e-04 - mean_absolute_error: 0.0139 23/126 [====>.........................] - ETA: 0s - loss: 2.6788e-04 - mean_absolute_error: 0.0121 45/126 [=========>....................] - ETA: 0s - loss: 2.8998e-04 - mean_absolute_error: 0.0121 65/126 [==============>...............] - ETA: 0s - loss: 3.0667e-04 - mean_absolute_error: 0.0125 85/126 [===================>..........] - ETA: 0s - loss: 2.7906e-04 - mean_absolute_error: 0.0121104/126 [=======================>......] - ETA: 0s - loss: 2.7166e-04 - mean_absolute_error: 0.0120125/126 [============================>.] - ETA: 0s - loss: 2.6358e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6352e-04 - mean_absolute_error: 0.0118 - val_loss: 1.3366e-04 - val_mean_absolute_error: 0.0090
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 2.0079e-04 - mean_absolute_error: 0.0104 20/126 [===>..........................] - ETA: 0s - loss: 1.9167e-04 - mean_absolute_error: 0.0105 40/126 [========>.....................] - ETA: 0s - loss: 2.4743e-04 - mean_absolute_error: 0.0112 62/126 [=============>................] - ETA: 0s - loss: 2.4359e-04 - mean_absolute_error: 0.0112 83/126 [==================>...........] - ETA: 0s - loss: 2.4953e-04 - mean_absolute_error: 0.0113104/126 [=======================>......] - ETA: 0s - loss: 2.5270e-04 - mean_absolute_error: 0.0114124/126 [============================>.] - ETA: 0s - loss: 2.4614e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.4547e-04 - mean_absolute_error: 0.0112 - val_loss: 1.4134e-04 - val_mean_absolute_error: 0.0093
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 1.9726e-04 - mean_absolute_error: 0.0097 19/126 [===>..........................] - ETA: 0s - loss: 2.0378e-04 - mean_absolute_error: 0.0107 38/126 [========>.....................] - ETA: 0s - loss: 2.7511e-04 - mean_absolute_error: 0.0117 59/126 [=============>................] - ETA: 0s - loss: 2.7255e-04 - mean_absolute_error: 0.0119 79/126 [=================>............] - ETA: 0s - loss: 2.8069e-04 - mean_absolute_error: 0.0121102/126 [=======================>......] - ETA: 0s - loss: 2.8182e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.6815e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2767e-04 - val_mean_absolute_error: 0.0087
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.7665e-04 - mean_absolute_error: 0.0104 24/126 [====>.........................] - ETA: 0s - loss: 2.7315e-04 - mean_absolute_error: 0.0118 48/126 [==========>...................] - ETA: 0s - loss: 2.7058e-04 - mean_absolute_error: 0.0121 72/126 [================>.............] - ETA: 0s - loss: 2.9766e-04 - mean_absolute_error: 0.0124 92/126 [====================>.........] - ETA: 0s - loss: 2.8688e-04 - mean_absolute_error: 0.0122113/126 [=========================>....] - ETA: 0s - loss: 2.6990e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6618e-04 - mean_absolute_error: 0.0119 - val_loss: 1.2522e-04 - val_mean_absolute_error: 0.0089
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 8.1951e-04 - mean_absolute_error: 0.0188 23/126 [====>.........................] - ETA: 0s - loss: 3.0255e-04 - mean_absolute_error: 0.0121 42/126 [=========>....................] - ETA: 0s - loss: 2.5794e-04 - mean_absolute_error: 0.0113 60/126 [=============>................] - ETA: 0s - loss: 2.5753e-04 - mean_absolute_error: 0.0113 79/126 [=================>............] - ETA: 0s - loss: 2.5840e-04 - mean_absolute_error: 0.0115100/126 [======================>.......] - ETA: 0s - loss: 2.6956e-04 - mean_absolute_error: 0.0118122/126 [============================>.] - ETA: 0s - loss: 2.6048e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5991e-04 - mean_absolute_error: 0.0116 - val_loss: 1.5813e-04 - val_mean_absolute_error: 0.0098
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 1.0692e-04 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 2.3891e-04 - mean_absolute_error: 0.0113 49/126 [==========>...................] - ETA: 0s - loss: 2.4927e-04 - mean_absolute_error: 0.0116 74/126 [================>.............] - ETA: 0s - loss: 2.5930e-04 - mean_absolute_error: 0.0116 99/126 [======================>.......] - ETA: 0s - loss: 2.5329e-04 - mean_absolute_error: 0.0115124/126 [============================>.] - ETA: 0s - loss: 2.5818e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 2ms/step - loss: 2.5679e-04 - mean_absolute_error: 0.0116 - val_loss: 2.3837e-04 - val_mean_absolute_error: 0.0129
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 3.5221e-04 - mean_absolute_error: 0.0148 20/126 [===>..........................] - ETA: 0s - loss: 2.9207e-04 - mean_absolute_error: 0.0135 42/126 [=========>....................] - ETA: 0s - loss: 2.6600e-04 - mean_absolute_error: 0.0125 67/126 [==============>...............] - ETA: 0s - loss: 2.5973e-04 - mean_absolute_error: 0.0120 89/126 [====================>.........] - ETA: 0s - loss: 2.5907e-04 - mean_absolute_error: 0.0119114/126 [==========================>...] - ETA: 0s - loss: 2.5610e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.6825e-04 - mean_absolute_error: 0.0119 - val_loss: 1.3943e-04 - val_mean_absolute_error: 0.0092
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 1.4843e-04 - mean_absolute_error: 0.0096 17/126 [===>..........................] - ETA: 0s - loss: 2.2863e-04 - mean_absolute_error: 0.0115 31/126 [======>.......................] - ETA: 0s - loss: 2.6168e-04 - mean_absolute_error: 0.0118 45/126 [=========>....................] - ETA: 0s - loss: 2.5819e-04 - mean_absolute_error: 0.0118 61/126 [=============>................] - ETA: 0s - loss: 2.6208e-04 - mean_absolute_error: 0.0117 74/126 [================>.............] - ETA: 0s - loss: 2.5819e-04 - mean_absolute_error: 0.0118 87/126 [===================>..........] - ETA: 0s - loss: 2.6316e-04 - mean_absolute_error: 0.0117102/126 [=======================>......] - ETA: 0s - loss: 2.6381e-04 - mean_absolute_error: 0.0116120/126 [===========================>..] - ETA: 0s - loss: 2.5735e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 4ms/step - loss: 2.5605e-04 - mean_absolute_error: 0.0115 - val_loss: 1.3435e-04 - val_mean_absolute_error: 0.0090
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 1.2840e-04 - mean_absolute_error: 0.0089 17/126 [===>..........................] - ETA: 0s - loss: 2.0911e-04 - mean_absolute_error: 0.0108 40/126 [========>.....................] - ETA: 0s - loss: 2.9929e-04 - mean_absolute_error: 0.0121 59/126 [=============>................] - ETA: 0s - loss: 2.8083e-04 - mean_absolute_error: 0.0119 76/126 [=================>............] - ETA: 0s - loss: 2.7141e-04 - mean_absolute_error: 0.0118 93/126 [=====================>........] - ETA: 0s - loss: 2.6253e-04 - mean_absolute_error: 0.0116106/126 [========================>.....] - ETA: 0s - loss: 2.5449e-04 - mean_absolute_error: 0.0115118/126 [===========================>..] - ETA: 0s - loss: 2.5362e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 4ms/step - loss: 2.5589e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2921e-04 - val_mean_absolute_error: 0.0088
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 1.8385e-04 - mean_absolute_error: 0.0104 14/126 [==>...........................] - ETA: 0s - loss: 2.7505e-04 - mean_absolute_error: 0.0117 26/126 [=====>........................] - ETA: 0s - loss: 2.6585e-04 - mean_absolute_error: 0.0116 39/126 [========>.....................] - ETA: 0s - loss: 2.6347e-04 - mean_absolute_error: 0.0115 52/126 [===========>..................] - ETA: 0s - loss: 2.6280e-04 - mean_absolute_error: 0.0115 67/126 [==============>...............] - ETA: 0s - loss: 2.5984e-04 - mean_absolute_error: 0.0114 82/126 [==================>...........] - ETA: 0s - loss: 2.4970e-04 - mean_absolute_error: 0.0113 97/126 [======================>.......] - ETA: 0s - loss: 2.7290e-04 - mean_absolute_error: 0.0120109/126 [========================>.....] - ETA: 0s - loss: 2.8526e-04 - mean_absolute_error: 0.0123119/126 [===========================>..] - ETA: 0s - loss: 2.8614e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 1s 5ms/step - loss: 2.8086e-04 - mean_absolute_error: 0.0122 - val_loss: 1.2019e-04 - val_mean_absolute_error: 0.0086
Epoch 22/100
  1/126 [..............................] - ETA: 1s - loss: 2.1639e-04 - mean_absolute_error: 0.0101 12/126 [=>............................] - ETA: 0s - loss: 3.8991e-04 - mean_absolute_error: 0.0130 24/126 [====>.........................] - ETA: 0s - loss: 3.2754e-04 - mean_absolute_error: 0.0124 37/126 [=======>......................] - ETA: 0s - loss: 2.9182e-04 - mean_absolute_error: 0.0119 50/126 [==========>...................] - ETA: 0s - loss: 2.7469e-04 - mean_absolute_error: 0.0118 66/126 [==============>...............] - ETA: 0s - loss: 2.7049e-04 - mean_absolute_error: 0.0117 81/126 [==================>...........] - ETA: 0s - loss: 2.6542e-04 - mean_absolute_error: 0.0116 99/126 [======================>.......] - ETA: 0s - loss: 2.6298e-04 - mean_absolute_error: 0.0117121/126 [===========================>..] - ETA: 0s - loss: 2.6244e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 4ms/step - loss: 2.6594e-04 - mean_absolute_error: 0.0119 - val_loss: 3.8838e-04 - val_mean_absolute_error: 0.0172
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 5.0190e-04 - mean_absolute_error: 0.0197 21/126 [====>.........................] - ETA: 0s - loss: 3.9769e-04 - mean_absolute_error: 0.0139 41/126 [========>.....................] - ETA: 0s - loss: 3.3094e-04 - mean_absolute_error: 0.0132 63/126 [==============>...............] - ETA: 0s - loss: 2.9022e-04 - mean_absolute_error: 0.0125 86/126 [===================>..........] - ETA: 0s - loss: 2.7961e-04 - mean_absolute_error: 0.0123109/126 [========================>.....] - ETA: 0s - loss: 2.6780e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.7385e-04 - mean_absolute_error: 0.0121 - val_loss: 3.9962e-04 - val_mean_absolute_error: 0.0175
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 5.7831e-04 - mean_absolute_error: 0.0216 23/126 [====>.........................] - ETA: 0s - loss: 3.7407e-04 - mean_absolute_error: 0.0148 49/126 [==========>...................] - ETA: 0s - loss: 3.0289e-04 - mean_absolute_error: 0.0130 71/126 [===============>..............] - ETA: 0s - loss: 2.9044e-04 - mean_absolute_error: 0.0126 94/126 [=====================>........] - ETA: 0s - loss: 2.8662e-04 - mean_absolute_error: 0.0124120/126 [===========================>..] - ETA: 0s - loss: 3.0106e-04 - mean_absolute_error: 0.0126126/126 [==============================] - 0s 3ms/step - loss: 3.0023e-04 - mean_absolute_error: 0.0126 - val_loss: 1.1780e-04 - val_mean_absolute_error: 0.0085
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 3.3675e-04 - mean_absolute_error: 0.0132 20/126 [===>..........................] - ETA: 0s - loss: 2.6348e-04 - mean_absolute_error: 0.0119 39/126 [========>.....................] - ETA: 0s - loss: 2.6533e-04 - mean_absolute_error: 0.0119 59/126 [=============>................] - ETA: 0s - loss: 2.6754e-04 - mean_absolute_error: 0.0120 79/126 [=================>............] - ETA: 0s - loss: 2.6409e-04 - mean_absolute_error: 0.0119103/126 [=======================>......] - ETA: 0s - loss: 2.6673e-04 - mean_absolute_error: 0.0120126/126 [==============================] - ETA: 0s - loss: 2.7225e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.7225e-04 - mean_absolute_error: 0.0121 - val_loss: 1.5293e-04 - val_mean_absolute_error: 0.0101
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 3.2085e-04 - mean_absolute_error: 0.0146 17/126 [===>..........................] - ETA: 0s - loss: 2.5873e-04 - mean_absolute_error: 0.0117 38/126 [========>.....................] - ETA: 0s - loss: 2.6692e-04 - mean_absolute_error: 0.0119 54/126 [===========>..................] - ETA: 0s - loss: 2.5621e-04 - mean_absolute_error: 0.0115 73/126 [================>.............] - ETA: 0s - loss: 2.7358e-04 - mean_absolute_error: 0.0119 88/126 [===================>..........] - ETA: 0s - loss: 2.6887e-04 - mean_absolute_error: 0.0119108/126 [========================>.....] - ETA: 0s - loss: 2.6934e-04 - mean_absolute_error: 0.0120126/126 [==============================] - ETA: 0s - loss: 2.6239e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6239e-04 - mean_absolute_error: 0.0119 - val_loss: 1.3548e-04 - val_mean_absolute_error: 0.0094
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 1.7757e-04 - mean_absolute_error: 0.0108 23/126 [====>.........................] - ETA: 0s - loss: 2.3691e-04 - mean_absolute_error: 0.0112 44/126 [=========>....................] - ETA: 0s - loss: 2.5397e-04 - mean_absolute_error: 0.0118 62/126 [=============>................] - ETA: 0s - loss: 2.6257e-04 - mean_absolute_error: 0.0116 85/126 [===================>..........] - ETA: 0s - loss: 2.6013e-04 - mean_absolute_error: 0.0116105/126 [========================>.....] - ETA: 0s - loss: 2.5164e-04 - mean_absolute_error: 0.0115123/126 [============================>.] - ETA: 0s - loss: 2.4805e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4745e-04 - mean_absolute_error: 0.0114 - val_loss: 1.2968e-04 - val_mean_absolute_error: 0.0088
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 2.7299e-04 - mean_absolute_error: 0.0120 16/126 [==>...........................] - ETA: 0s - loss: 2.0246e-04 - mean_absolute_error: 0.0107 34/126 [=======>......................] - ETA: 0s - loss: 2.4214e-04 - mean_absolute_error: 0.0114 50/126 [==========>...................] - ETA: 0s - loss: 2.5298e-04 - mean_absolute_error: 0.0116 66/126 [==============>...............] - ETA: 0s - loss: 2.5224e-04 - mean_absolute_error: 0.0115 80/126 [==================>...........] - ETA: 0s - loss: 2.4875e-04 - mean_absolute_error: 0.0115 98/126 [======================>.......] - ETA: 0s - loss: 2.5011e-04 - mean_absolute_error: 0.0116112/126 [=========================>....] - ETA: 0s - loss: 2.5479e-04 - mean_absolute_error: 0.0115125/126 [============================>.] - ETA: 0s - loss: 2.5306e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 4ms/step - loss: 2.5349e-04 - mean_absolute_error: 0.0115 - val_loss: 1.3178e-04 - val_mean_absolute_error: 0.0089
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 1.8392e-04 - mean_absolute_error: 0.0112 20/126 [===>..........................] - ETA: 0s - loss: 2.9148e-04 - mean_absolute_error: 0.0121 41/126 [========>.....................] - ETA: 0s - loss: 2.4709e-04 - mean_absolute_error: 0.0115 65/126 [==============>...............] - ETA: 0s - loss: 2.5935e-04 - mean_absolute_error: 0.0115 90/126 [====================>.........] - ETA: 0s - loss: 2.7145e-04 - mean_absolute_error: 0.0119114/126 [==========================>...] - ETA: 0s - loss: 2.7533e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.7992e-04 - mean_absolute_error: 0.0123 - val_loss: 4.5006e-04 - val_mean_absolute_error: 0.0186
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 2.8970e-04 - mean_absolute_error: 0.0149 19/126 [===>..........................] - ETA: 0s - loss: 3.7830e-04 - mean_absolute_error: 0.0149 44/126 [=========>....................] - ETA: 0s - loss: 3.1246e-04 - mean_absolute_error: 0.0132 69/126 [===============>..............] - ETA: 0s - loss: 3.0839e-04 - mean_absolute_error: 0.0130 93/126 [=====================>........] - ETA: 0s - loss: 2.8898e-04 - mean_absolute_error: 0.0125118/126 [===========================>..] - ETA: 0s - loss: 2.7404e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 3ms/step - loss: 2.7501e-04 - mean_absolute_error: 0.0121 - val_loss: 1.1563e-04 - val_mean_absolute_error: 0.0084
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.5999e-04 - mean_absolute_error: 0.0104 19/126 [===>..........................] - ETA: 0s - loss: 2.5135e-04 - mean_absolute_error: 0.0114 35/126 [=======>......................] - ETA: 0s - loss: 2.4437e-04 - mean_absolute_error: 0.0114 51/126 [===========>..................] - ETA: 0s - loss: 2.5262e-04 - mean_absolute_error: 0.0115 65/126 [==============>...............] - ETA: 0s - loss: 2.4562e-04 - mean_absolute_error: 0.0114 81/126 [==================>...........] - ETA: 0s - loss: 2.6531e-04 - mean_absolute_error: 0.0120 97/126 [======================>.......] - ETA: 0s - loss: 2.7108e-04 - mean_absolute_error: 0.0121111/126 [=========================>....] - ETA: 0s - loss: 2.6874e-04 - mean_absolute_error: 0.0121123/126 [============================>.] - ETA: 0s - loss: 2.7074e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 1s 4ms/step - loss: 2.6794e-04 - mean_absolute_error: 0.0119 - val_loss: 1.1713e-04 - val_mean_absolute_error: 0.0085
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.9045e-04 - mean_absolute_error: 0.0084 14/126 [==>...........................] - ETA: 0s - loss: 2.1347e-04 - mean_absolute_error: 0.0108 26/126 [=====>........................] - ETA: 0s - loss: 2.3078e-04 - mean_absolute_error: 0.0111 38/126 [========>.....................] - ETA: 0s - loss: 2.2916e-04 - mean_absolute_error: 0.0109 51/126 [===========>..................] - ETA: 0s - loss: 2.3065e-04 - mean_absolute_error: 0.0110 65/126 [==============>...............] - ETA: 0s - loss: 2.3120e-04 - mean_absolute_error: 0.0110 81/126 [==================>...........] - ETA: 0s - loss: 2.3736e-04 - mean_absolute_error: 0.0112 92/126 [====================>.........] - ETA: 0s - loss: 2.4340e-04 - mean_absolute_error: 0.0113105/126 [========================>.....] - ETA: 0s - loss: 2.3870e-04 - mean_absolute_error: 0.0112117/126 [==========================>...] - ETA: 0s - loss: 2.4466e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 1s 4ms/step - loss: 2.4749e-04 - mean_absolute_error: 0.0113 - val_loss: 1.1470e-04 - val_mean_absolute_error: 0.0083
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 2.5934e-04 - mean_absolute_error: 0.0132  6/126 [>.............................] - ETA: 1s - loss: 3.0531e-04 - mean_absolute_error: 0.0122 18/126 [===>..........................] - ETA: 0s - loss: 3.1643e-04 - mean_absolute_error: 0.0134 30/126 [======>.......................] - ETA: 0s - loss: 3.5376e-04 - mean_absolute_error: 0.0142 42/126 [=========>....................] - ETA: 0s - loss: 3.2165e-04 - mean_absolute_error: 0.0136 58/126 [============>.................] - ETA: 0s - loss: 3.1074e-04 - mean_absolute_error: 0.0131 70/126 [===============>..............] - ETA: 0s - loss: 2.9746e-04 - mean_absolute_error: 0.0128 84/126 [===================>..........] - ETA: 0s - loss: 2.9958e-04 - mean_absolute_error: 0.0129100/126 [======================>.......] - ETA: 0s - loss: 3.0022e-04 - mean_absolute_error: 0.0128113/126 [=========================>....] - ETA: 0s - loss: 3.1017e-04 - mean_absolute_error: 0.0131126/126 [==============================] - ETA: 0s - loss: 3.0118e-04 - mean_absolute_error: 0.0129126/126 [==============================] - 1s 5ms/step - loss: 3.0118e-04 - mean_absolute_error: 0.0129 - val_loss: 1.1914e-04 - val_mean_absolute_error: 0.0085
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 2.2556e-04 - mean_absolute_error: 0.0116 16/126 [==>...........................] - ETA: 0s - loss: 3.2473e-04 - mean_absolute_error: 0.0134 31/126 [======>.......................] - ETA: 0s - loss: 3.2510e-04 - mean_absolute_error: 0.0131 44/126 [=========>....................] - ETA: 0s - loss: 3.0704e-04 - mean_absolute_error: 0.0128 59/126 [=============>................] - ETA: 0s - loss: 2.8781e-04 - mean_absolute_error: 0.0124 73/126 [================>.............] - ETA: 0s - loss: 2.7665e-04 - mean_absolute_error: 0.0122 87/126 [===================>..........] - ETA: 0s - loss: 2.6792e-04 - mean_absolute_error: 0.0120102/126 [=======================>......] - ETA: 0s - loss: 2.6239e-04 - mean_absolute_error: 0.0118116/126 [==========================>...] - ETA: 0s - loss: 2.6052e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 1s 4ms/step - loss: 2.6065e-04 - mean_absolute_error: 0.0118 - val_loss: 1.1489e-04 - val_mean_absolute_error: 0.0084
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 2.1487e-04 - mean_absolute_error: 0.0111 16/126 [==>...........................] - ETA: 0s - loss: 1.9463e-04 - mean_absolute_error: 0.0107 33/126 [======>.......................] - ETA: 0s - loss: 2.2546e-04 - mean_absolute_error: 0.0110 48/126 [==========>...................] - ETA: 0s - loss: 2.5427e-04 - mean_absolute_error: 0.0113 66/126 [==============>...............] - ETA: 0s - loss: 2.4903e-04 - mean_absolute_error: 0.0113 81/126 [==================>...........] - ETA: 0s - loss: 2.4613e-04 - mean_absolute_error: 0.0112 96/126 [=====================>........] - ETA: 0s - loss: 2.4099e-04 - mean_absolute_error: 0.0112112/126 [=========================>....] - ETA: 0s - loss: 2.4028e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 4ms/step - loss: 2.4498e-04 - mean_absolute_error: 0.0113 - val_loss: 1.1867e-04 - val_mean_absolute_error: 0.0087
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 1.3925e-04 - mean_absolute_error: 0.0094 17/126 [===>..........................] - ETA: 0s - loss: 2.5444e-04 - mean_absolute_error: 0.0119 32/126 [======>.......................] - ETA: 0s - loss: 2.4763e-04 - mean_absolute_error: 0.0115 46/126 [=========>....................] - ETA: 0s - loss: 2.5756e-04 - mean_absolute_error: 0.0115 61/126 [=============>................] - ETA: 0s - loss: 2.4077e-04 - mean_absolute_error: 0.0112 74/126 [================>.............] - ETA: 0s - loss: 2.3374e-04 - mean_absolute_error: 0.0111 89/126 [====================>.........] - ETA: 0s - loss: 2.2841e-04 - mean_absolute_error: 0.0110105/126 [========================>.....] - ETA: 0s - loss: 2.2628e-04 - mean_absolute_error: 0.0109121/126 [===========================>..] - ETA: 0s - loss: 2.3676e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 4ms/step - loss: 2.4180e-04 - mean_absolute_error: 0.0112 - val_loss: 1.1654e-04 - val_mean_absolute_error: 0.0084
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 1.5443e-04 - mean_absolute_error: 0.0102 17/126 [===>..........................] - ETA: 0s - loss: 2.2680e-04 - mean_absolute_error: 0.0117 35/126 [=======>......................] - ETA: 0s - loss: 2.4514e-04 - mean_absolute_error: 0.0120 51/126 [===========>..................] - ETA: 0s - loss: 2.6121e-04 - mean_absolute_error: 0.0120 69/126 [===============>..............] - ETA: 0s - loss: 2.7124e-04 - mean_absolute_error: 0.0121 87/126 [===================>..........] - ETA: 0s - loss: 2.6378e-04 - mean_absolute_error: 0.0119103/126 [=======================>......] - ETA: 0s - loss: 2.5904e-04 - mean_absolute_error: 0.0117122/126 [============================>.] - ETA: 0s - loss: 2.5314e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.5222e-04 - mean_absolute_error: 0.0116 - val_loss: 1.3351e-04 - val_mean_absolute_error: 0.0093
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 7.2264e-04 - mean_absolute_error: 0.0150 20/126 [===>..........................] - ETA: 0s - loss: 2.8975e-04 - mean_absolute_error: 0.0118 38/126 [========>.....................] - ETA: 0s - loss: 2.5594e-04 - mean_absolute_error: 0.0113 60/126 [=============>................] - ETA: 0s - loss: 3.2417e-04 - mean_absolute_error: 0.0132 82/126 [==================>...........] - ETA: 0s - loss: 3.3838e-04 - mean_absolute_error: 0.0138100/126 [======================>.......] - ETA: 0s - loss: 3.2711e-04 - mean_absolute_error: 0.0135118/126 [===========================>..] - ETA: 0s - loss: 3.1577e-04 - mean_absolute_error: 0.0133126/126 [==============================] - 0s 3ms/step - loss: 3.1894e-04 - mean_absolute_error: 0.0133 - val_loss: 3.9408e-04 - val_mean_absolute_error: 0.0175
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 4.0786e-04 - mean_absolute_error: 0.0169 16/126 [==>...........................] - ETA: 0s - loss: 3.5491e-04 - mean_absolute_error: 0.0140 34/126 [=======>......................] - ETA: 0s - loss: 3.2408e-04 - mean_absolute_error: 0.0134 50/126 [==========>...................] - ETA: 0s - loss: 2.9515e-04 - mean_absolute_error: 0.0128 65/126 [==============>...............] - ETA: 0s - loss: 2.8945e-04 - mean_absolute_error: 0.0127 80/126 [==================>...........] - ETA: 0s - loss: 2.7351e-04 - mean_absolute_error: 0.0123 97/126 [======================>.......] - ETA: 0s - loss: 2.6976e-04 - mean_absolute_error: 0.0122116/126 [==========================>...] - ETA: 0s - loss: 2.7264e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 4ms/step - loss: 2.8167e-04 - mean_absolute_error: 0.0125 - val_loss: 3.9369e-04 - val_mean_absolute_error: 0.0175
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 4.6275e-04 - mean_absolute_error: 0.0183 19/126 [===>..........................] - ETA: 0s - loss: 2.4636e-04 - mean_absolute_error: 0.0118 36/126 [=======>......................] - ETA: 0s - loss: 2.6016e-04 - mean_absolute_error: 0.0115 56/126 [============>.................] - ETA: 0s - loss: 2.6091e-04 - mean_absolute_error: 0.0116 75/126 [================>.............] - ETA: 0s - loss: 2.6504e-04 - mean_absolute_error: 0.0119 94/126 [=====================>........] - ETA: 0s - loss: 2.6435e-04 - mean_absolute_error: 0.0118112/126 [=========================>....] - ETA: 0s - loss: 2.5904e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5564e-04 - mean_absolute_error: 0.0117 - val_loss: 1.9232e-04 - val_mean_absolute_error: 0.0111
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 3.2281e-04 - mean_absolute_error: 0.0130 16/126 [==>...........................] - ETA: 0s - loss: 2.3989e-04 - mean_absolute_error: 0.0113 32/126 [======>.......................] - ETA: 0s - loss: 2.8960e-04 - mean_absolute_error: 0.0124 52/126 [===========>..................] - ETA: 0s - loss: 2.8401e-04 - mean_absolute_error: 0.0124 68/126 [===============>..............] - ETA: 0s - loss: 2.6822e-04 - mean_absolute_error: 0.0122 91/126 [====================>.........] - ETA: 0s - loss: 2.8612e-04 - mean_absolute_error: 0.0125112/126 [=========================>....] - ETA: 0s - loss: 2.8608e-04 - mean_absolute_error: 0.0126126/126 [==============================] - 0s 3ms/step - loss: 2.8969e-04 - mean_absolute_error: 0.0127 - val_loss: 1.4139e-04 - val_mean_absolute_error: 0.0096
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 2.2007e-04 - mean_absolute_error: 0.0119 17/126 [===>..........................] - ETA: 0s - loss: 3.5013e-04 - mean_absolute_error: 0.0142 32/126 [======>.......................] - ETA: 0s - loss: 3.5501e-04 - mean_absolute_error: 0.0140 47/126 [==========>...................] - ETA: 0s - loss: 3.2408e-04 - mean_absolute_error: 0.0131 62/126 [=============>................] - ETA: 0s - loss: 3.0691e-04 - mean_absolute_error: 0.0128 79/126 [=================>............] - ETA: 0s - loss: 2.9535e-04 - mean_absolute_error: 0.0124101/126 [=======================>......] - ETA: 0s - loss: 2.7714e-04 - mean_absolute_error: 0.0121120/126 [===========================>..] - ETA: 0s - loss: 2.7094e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.7054e-04 - mean_absolute_error: 0.0120 - val_loss: 2.6384e-04 - val_mean_absolute_error: 0.0138
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 2.5606e-04 - mean_absolute_error: 0.0139 15/126 [==>...........................] - ETA: 0s - loss: 3.1609e-04 - mean_absolute_error: 0.0133 30/126 [======>.......................] - ETA: 0s - loss: 3.1277e-04 - mean_absolute_error: 0.0133 44/126 [=========>....................] - ETA: 0s - loss: 3.2720e-04 - mean_absolute_error: 0.0137 59/126 [=============>................] - ETA: 0s - loss: 3.1067e-04 - mean_absolute_error: 0.0133 79/126 [=================>............] - ETA: 0s - loss: 2.9478e-04 - mean_absolute_error: 0.0129 96/126 [=====================>........] - ETA: 0s - loss: 2.9072e-04 - mean_absolute_error: 0.0128112/126 [=========================>....] - ETA: 0s - loss: 2.8890e-04 - mean_absolute_error: 0.0126126/126 [==============================] - 0s 4ms/step - loss: 2.7989e-04 - mean_absolute_error: 0.0124 - val_loss: 1.1270e-04 - val_mean_absolute_error: 0.0083
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 1.6141e-04 - mean_absolute_error: 0.0086 18/126 [===>..........................] - ETA: 0s - loss: 1.9340e-04 - mean_absolute_error: 0.0103 35/126 [=======>......................] - ETA: 0s - loss: 2.4131e-04 - mean_absolute_error: 0.0116 52/126 [===========>..................] - ETA: 0s - loss: 3.2226e-04 - mean_absolute_error: 0.0135 66/126 [==============>...............] - ETA: 0s - loss: 3.4738e-04 - mean_absolute_error: 0.0142 85/126 [===================>..........] - ETA: 0s - loss: 3.3244e-04 - mean_absolute_error: 0.0138103/126 [=======================>......] - ETA: 0s - loss: 3.2309e-04 - mean_absolute_error: 0.0134120/126 [===========================>..] - ETA: 0s - loss: 3.1018e-04 - mean_absolute_error: 0.0131126/126 [==============================] - 0s 3ms/step - loss: 3.0740e-04 - mean_absolute_error: 0.0131 - val_loss: 3.2839e-04 - val_mean_absolute_error: 0.0157
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 4.5178e-04 - mean_absolute_error: 0.0185 23/126 [====>.........................] - ETA: 0s - loss: 2.3245e-04 - mean_absolute_error: 0.0110 46/126 [=========>....................] - ETA: 0s - loss: 2.1783e-04 - mean_absolute_error: 0.0109 64/126 [==============>...............] - ETA: 0s - loss: 2.1951e-04 - mean_absolute_error: 0.0108 82/126 [==================>...........] - ETA: 0s - loss: 2.1852e-04 - mean_absolute_error: 0.0107100/126 [======================>.......] - ETA: 0s - loss: 2.2672e-04 - mean_absolute_error: 0.0110119/126 [===========================>..] - ETA: 0s - loss: 2.4162e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.3991e-04 - mean_absolute_error: 0.0112 - val_loss: 1.4644e-04 - val_mean_absolute_error: 0.0098
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 2.5778e-04 - mean_absolute_error: 0.0133 21/126 [====>.........................] - ETA: 0s - loss: 2.2859e-04 - mean_absolute_error: 0.0114 39/126 [========>.....................] - ETA: 0s - loss: 2.3792e-04 - mean_absolute_error: 0.0116 57/126 [============>.................] - ETA: 0s - loss: 2.6111e-04 - mean_absolute_error: 0.0119 78/126 [=================>............] - ETA: 0s - loss: 2.5059e-04 - mean_absolute_error: 0.0117 97/126 [======================>.......] - ETA: 0s - loss: 2.5924e-04 - mean_absolute_error: 0.0118120/126 [===========================>..] - ETA: 0s - loss: 2.6009e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.6125e-04 - mean_absolute_error: 0.0118 - val_loss: 1.1111e-04 - val_mean_absolute_error: 0.0083
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 1.2634e-04 - mean_absolute_error: 0.0092 18/126 [===>..........................] - ETA: 0s - loss: 2.6370e-04 - mean_absolute_error: 0.0113 38/126 [========>.....................] - ETA: 0s - loss: 2.2679e-04 - mean_absolute_error: 0.0108 58/126 [============>.................] - ETA: 0s - loss: 2.2267e-04 - mean_absolute_error: 0.0107 74/126 [================>.............] - ETA: 0s - loss: 2.2217e-04 - mean_absolute_error: 0.0107 92/126 [====================>.........] - ETA: 0s - loss: 2.2416e-04 - mean_absolute_error: 0.0108115/126 [==========================>...] - ETA: 0s - loss: 2.2967e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 3ms/step - loss: 2.4021e-04 - mean_absolute_error: 0.0112 - val_loss: 3.3024e-04 - val_mean_absolute_error: 0.0156
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 2.2732e-04 - mean_absolute_error: 0.0138 23/126 [====>.........................] - ETA: 0s - loss: 2.4099e-04 - mean_absolute_error: 0.0114 48/126 [==========>...................] - ETA: 0s - loss: 2.4750e-04 - mean_absolute_error: 0.0116 73/126 [================>.............] - ETA: 0s - loss: 2.5940e-04 - mean_absolute_error: 0.0120 97/126 [======================>.......] - ETA: 0s - loss: 2.5343e-04 - mean_absolute_error: 0.0117121/126 [===========================>..] - ETA: 0s - loss: 2.5928e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 2ms/step - loss: 2.5675e-04 - mean_absolute_error: 0.0118 - val_loss: 1.1050e-04 - val_mean_absolute_error: 0.0082
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 3.2350e-04 - mean_absolute_error: 0.0136 24/126 [====>.........................] - ETA: 0s - loss: 2.8488e-04 - mean_absolute_error: 0.0128 47/126 [==========>...................] - ETA: 0s - loss: 2.8577e-04 - mean_absolute_error: 0.0124 72/126 [================>.............] - ETA: 0s - loss: 3.1292e-04 - mean_absolute_error: 0.0130 98/126 [======================>.......] - ETA: 0s - loss: 3.2876e-04 - mean_absolute_error: 0.0135124/126 [============================>.] - ETA: 0s - loss: 3.0353e-04 - mean_absolute_error: 0.0129126/126 [==============================] - 0s 2ms/step - loss: 3.0258e-04 - mean_absolute_error: 0.0129 - val_loss: 1.4236e-04 - val_mean_absolute_error: 0.0093
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.3429e-04 - mean_absolute_error: 0.0083 18/126 [===>..........................] - ETA: 0s - loss: 2.2333e-04 - mean_absolute_error: 0.0112 38/126 [========>.....................] - ETA: 0s - loss: 2.3939e-04 - mean_absolute_error: 0.0115 60/126 [=============>................] - ETA: 0s - loss: 2.5372e-04 - mean_absolute_error: 0.0115 83/126 [==================>...........] - ETA: 0s - loss: 2.6167e-04 - mean_absolute_error: 0.0117106/126 [========================>.....] - ETA: 0s - loss: 2.5181e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.4478e-04 - mean_absolute_error: 0.0114 - val_loss: 2.7744e-04 - val_mean_absolute_error: 0.0140
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 5.4199e-04 - mean_absolute_error: 0.0178 26/126 [=====>........................] - ETA: 0s - loss: 2.6018e-04 - mean_absolute_error: 0.0121 50/126 [==========>...................] - ETA: 0s - loss: 2.5869e-04 - mean_absolute_error: 0.0119 67/126 [==============>...............] - ETA: 0s - loss: 2.4632e-04 - mean_absolute_error: 0.0117 90/126 [====================>.........] - ETA: 0s - loss: 2.5757e-04 - mean_absolute_error: 0.0119107/126 [========================>.....] - ETA: 0s - loss: 2.6387e-04 - mean_absolute_error: 0.0120125/126 [============================>.] - ETA: 0s - loss: 2.6659e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 3ms/step - loss: 2.6659e-04 - mean_absolute_error: 0.0120 - val_loss: 1.1572e-04 - val_mean_absolute_error: 0.0083
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 3.8797e-04 - mean_absolute_error: 0.0111 23/126 [====>.........................] - ETA: 0s - loss: 2.3473e-04 - mean_absolute_error: 0.0106 47/126 [==========>...................] - ETA: 0s - loss: 2.2238e-04 - mean_absolute_error: 0.0107 67/126 [==============>...............] - ETA: 0s - loss: 2.4022e-04 - mean_absolute_error: 0.0110 92/126 [====================>.........] - ETA: 0s - loss: 2.6316e-04 - mean_absolute_error: 0.0117116/126 [==========================>...] - ETA: 0s - loss: 2.5788e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5856e-04 - mean_absolute_error: 0.0118 - val_loss: 3.3842e-04 - val_mean_absolute_error: 0.0160
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 3.3706e-04 - mean_absolute_error: 0.0150 22/126 [====>.........................] - ETA: 0s - loss: 2.6330e-04 - mean_absolute_error: 0.0128 45/126 [=========>....................] - ETA: 0s - loss: 2.6790e-04 - mean_absolute_error: 0.0123 71/126 [===============>..............] - ETA: 0s - loss: 2.7390e-04 - mean_absolute_error: 0.0122 98/126 [======================>.......] - ETA: 0s - loss: 2.5745e-04 - mean_absolute_error: 0.0117124/126 [============================>.] - ETA: 0s - loss: 2.4786e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.4796e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2208e-04 - val_mean_absolute_error: 0.0086
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 1.1861e-04 - mean_absolute_error: 0.0089 24/126 [====>.........................] - ETA: 0s - loss: 2.4966e-04 - mean_absolute_error: 0.0118 46/126 [=========>....................] - ETA: 0s - loss: 2.5821e-04 - mean_absolute_error: 0.0121 70/126 [===============>..............] - ETA: 0s - loss: 2.4551e-04 - mean_absolute_error: 0.0115 97/126 [======================>.......] - ETA: 0s - loss: 2.5014e-04 - mean_absolute_error: 0.0116122/126 [============================>.] - ETA: 0s - loss: 2.4796e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4916e-04 - mean_absolute_error: 0.0116 - val_loss: 2.9329e-04 - val_mean_absolute_error: 0.0147
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 4.3300e-04 - mean_absolute_error: 0.0179 21/126 [====>.........................] - ETA: 0s - loss: 2.0590e-04 - mean_absolute_error: 0.0110 46/126 [=========>....................] - ETA: 0s - loss: 2.2602e-04 - mean_absolute_error: 0.0112 73/126 [================>.............] - ETA: 0s - loss: 2.1849e-04 - mean_absolute_error: 0.0111 99/126 [======================>.......] - ETA: 0s - loss: 2.4301e-04 - mean_absolute_error: 0.0115124/126 [============================>.] - ETA: 0s - loss: 2.4629e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.4920e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2330e-04 - val_mean_absolute_error: 0.0089
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 2.6315e-04 - mean_absolute_error: 0.0121 25/126 [====>.........................] - ETA: 0s - loss: 1.9504e-04 - mean_absolute_error: 0.0105 48/126 [==========>...................] - ETA: 0s - loss: 2.2132e-04 - mean_absolute_error: 0.0109 70/126 [===============>..............] - ETA: 0s - loss: 2.4921e-04 - mean_absolute_error: 0.0114 96/126 [=====================>........] - ETA: 0s - loss: 2.4477e-04 - mean_absolute_error: 0.0113123/126 [============================>.] - ETA: 0s - loss: 2.3636e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 2ms/step - loss: 2.3494e-04 - mean_absolute_error: 0.0112 - val_loss: 1.6591e-04 - val_mean_absolute_error: 0.0105
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.2595e-04 - mean_absolute_error: 0.0090 22/126 [====>.........................] - ETA: 0s - loss: 3.0991e-04 - mean_absolute_error: 0.0128 48/126 [==========>...................] - ETA: 0s - loss: 2.9079e-04 - mean_absolute_error: 0.0126 74/126 [================>.............] - ETA: 0s - loss: 2.5008e-04 - mean_absolute_error: 0.0117100/126 [======================>.......] - ETA: 0s - loss: 2.4688e-04 - mean_absolute_error: 0.0115124/126 [============================>.] - ETA: 0s - loss: 2.4291e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.4351e-04 - mean_absolute_error: 0.0114 - val_loss: 1.3817e-04 - val_mean_absolute_error: 0.0092
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.3437e-04 - mean_absolute_error: 0.0091 19/126 [===>..........................] - ETA: 0s - loss: 2.4579e-04 - mean_absolute_error: 0.0121 42/126 [=========>....................] - ETA: 0s - loss: 2.2563e-04 - mean_absolute_error: 0.0115 65/126 [==============>...............] - ETA: 0s - loss: 2.6169e-04 - mean_absolute_error: 0.0119 87/126 [===================>..........] - ETA: 0s - loss: 2.8186e-04 - mean_absolute_error: 0.0125109/126 [========================>.....] - ETA: 0s - loss: 2.7675e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 3ms/step - loss: 2.7416e-04 - mean_absolute_error: 0.0124 - val_loss: 1.0892e-04 - val_mean_absolute_error: 0.0083
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 3.1786e-04 - mean_absolute_error: 0.0127 25/126 [====>.........................] - ETA: 0s - loss: 3.7811e-04 - mean_absolute_error: 0.0143 43/126 [=========>....................] - ETA: 0s - loss: 3.3831e-04 - mean_absolute_error: 0.0139 62/126 [=============>................] - ETA: 0s - loss: 3.1053e-04 - mean_absolute_error: 0.0131 80/126 [==================>...........] - ETA: 0s - loss: 2.9268e-04 - mean_absolute_error: 0.0126 97/126 [======================>.......] - ETA: 0s - loss: 2.7514e-04 - mean_absolute_error: 0.0122112/126 [=========================>....] - ETA: 0s - loss: 2.5915e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.5194e-04 - mean_absolute_error: 0.0116 - val_loss: 1.0643e-04 - val_mean_absolute_error: 0.0081
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 2.6648e-04 - mean_absolute_error: 0.0123 22/126 [====>.........................] - ETA: 0s - loss: 2.7810e-04 - mean_absolute_error: 0.0115 49/126 [==========>...................] - ETA: 0s - loss: 2.9673e-04 - mean_absolute_error: 0.0124 74/126 [================>.............] - ETA: 0s - loss: 2.8686e-04 - mean_absolute_error: 0.0122101/126 [=======================>......] - ETA: 0s - loss: 2.6322e-04 - mean_absolute_error: 0.0118116/126 [==========================>...] - ETA: 0s - loss: 2.5945e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5890e-04 - mean_absolute_error: 0.0117 - val_loss: 1.0463e-04 - val_mean_absolute_error: 0.0080
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.0424e-04 - mean_absolute_error: 0.0085 24/126 [====>.........................] - ETA: 0s - loss: 1.8954e-04 - mean_absolute_error: 0.0102 47/126 [==========>...................] - ETA: 0s - loss: 2.2843e-04 - mean_absolute_error: 0.0106 72/126 [================>.............] - ETA: 0s - loss: 2.2200e-04 - mean_absolute_error: 0.0107 96/126 [=====================>........] - ETA: 0s - loss: 2.3476e-04 - mean_absolute_error: 0.0111123/126 [============================>.] - ETA: 0s - loss: 2.6218e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 2ms/step - loss: 2.6097e-04 - mean_absolute_error: 0.0119 - val_loss: 1.2325e-04 - val_mean_absolute_error: 0.0089
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.3224e-04 - mean_absolute_error: 0.0087 24/126 [====>.........................] - ETA: 0s - loss: 2.2334e-04 - mean_absolute_error: 0.0110 49/126 [==========>...................] - ETA: 0s - loss: 2.3426e-04 - mean_absolute_error: 0.0111 63/126 [==============>...............] - ETA: 0s - loss: 2.4665e-04 - mean_absolute_error: 0.0116 78/126 [=================>............] - ETA: 0s - loss: 2.4045e-04 - mean_absolute_error: 0.0115 92/126 [====================>.........] - ETA: 0s - loss: 2.3561e-04 - mean_absolute_error: 0.0113107/126 [========================>.....] - ETA: 0s - loss: 2.3618e-04 - mean_absolute_error: 0.0112123/126 [============================>.] - ETA: 0s - loss: 2.3128e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.3375e-04 - mean_absolute_error: 0.0111 - val_loss: 1.0276e-04 - val_mean_absolute_error: 0.0079
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 2.9153e-04 - mean_absolute_error: 0.0122 16/126 [==>...........................] - ETA: 0s - loss: 3.0348e-04 - mean_absolute_error: 0.0135 33/126 [======>.......................] - ETA: 0s - loss: 3.1282e-04 - mean_absolute_error: 0.0133 53/126 [===========>..................] - ETA: 0s - loss: 2.8412e-04 - mean_absolute_error: 0.0128 68/126 [===============>..............] - ETA: 0s - loss: 2.6722e-04 - mean_absolute_error: 0.0123 85/126 [===================>..........] - ETA: 0s - loss: 2.5280e-04 - mean_absolute_error: 0.0119102/126 [=======================>......] - ETA: 0s - loss: 2.6675e-04 - mean_absolute_error: 0.0121120/126 [===========================>..] - ETA: 0s - loss: 2.6361e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 3ms/step - loss: 2.6111e-04 - mean_absolute_error: 0.0119 - val_loss: 1.0389e-04 - val_mean_absolute_error: 0.0079
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 2.2831e-04 - mean_absolute_error: 0.0104 16/126 [==>...........................] - ETA: 0s - loss: 2.7207e-04 - mean_absolute_error: 0.0121 28/126 [=====>........................] - ETA: 0s - loss: 2.4584e-04 - mean_absolute_error: 0.0117 43/126 [=========>....................] - ETA: 0s - loss: 2.4062e-04 - mean_absolute_error: 0.0115 58/126 [============>.................] - ETA: 0s - loss: 2.3191e-04 - mean_absolute_error: 0.0113 71/126 [===============>..............] - ETA: 0s - loss: 2.2799e-04 - mean_absolute_error: 0.0110 85/126 [===================>..........] - ETA: 0s - loss: 2.2906e-04 - mean_absolute_error: 0.0109101/126 [=======================>......] - ETA: 0s - loss: 2.2760e-04 - mean_absolute_error: 0.0108115/126 [==========================>...] - ETA: 0s - loss: 2.2459e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 1s 4ms/step - loss: 2.2304e-04 - mean_absolute_error: 0.0108 - val_loss: 2.9490e-04 - val_mean_absolute_error: 0.0148
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 3.8510e-04 - mean_absolute_error: 0.0150 21/126 [====>.........................] - ETA: 0s - loss: 2.5311e-04 - mean_absolute_error: 0.0122 46/126 [=========>....................] - ETA: 0s - loss: 2.7277e-04 - mean_absolute_error: 0.0125 66/126 [==============>...............] - ETA: 0s - loss: 2.6486e-04 - mean_absolute_error: 0.0124 82/126 [==================>...........] - ETA: 0s - loss: 2.5318e-04 - mean_absolute_error: 0.0121102/126 [=======================>......] - ETA: 0s - loss: 2.5971e-04 - mean_absolute_error: 0.0119124/126 [============================>.] - ETA: 0s - loss: 2.5267e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5142e-04 - mean_absolute_error: 0.0116 - val_loss: 1.0150e-04 - val_mean_absolute_error: 0.0078
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 2.6352e-04 - mean_absolute_error: 0.0118 22/126 [====>.........................] - ETA: 0s - loss: 1.9576e-04 - mean_absolute_error: 0.0098 47/126 [==========>...................] - ETA: 0s - loss: 1.9527e-04 - mean_absolute_error: 0.0100 73/126 [================>.............] - ETA: 0s - loss: 2.0325e-04 - mean_absolute_error: 0.0102 98/126 [======================>.......] - ETA: 0s - loss: 2.1040e-04 - mean_absolute_error: 0.0104121/126 [===========================>..] - ETA: 0s - loss: 2.1587e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.1786e-04 - mean_absolute_error: 0.0106 - val_loss: 1.3817e-04 - val_mean_absolute_error: 0.0093
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.3594e-04 - mean_absolute_error: 0.0093 18/126 [===>..........................] - ETA: 0s - loss: 1.6699e-04 - mean_absolute_error: 0.0102 36/126 [=======>......................] - ETA: 0s - loss: 1.9629e-04 - mean_absolute_error: 0.0105 56/126 [============>.................] - ETA: 0s - loss: 2.1526e-04 - mean_absolute_error: 0.0107 79/126 [=================>............] - ETA: 0s - loss: 2.4265e-04 - mean_absolute_error: 0.0115 99/126 [======================>.......] - ETA: 0s - loss: 2.7218e-04 - mean_absolute_error: 0.0123122/126 [============================>.] - ETA: 0s - loss: 2.6741e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.6696e-04 - mean_absolute_error: 0.0121 - val_loss: 1.2711e-04 - val_mean_absolute_error: 0.0088
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 1.9079e-04 - mean_absolute_error: 0.0101 21/126 [====>.........................] - ETA: 0s - loss: 3.4155e-04 - mean_absolute_error: 0.0131 34/126 [=======>......................] - ETA: 0s - loss: 2.7548e-04 - mean_absolute_error: 0.0116 46/126 [=========>....................] - ETA: 0s - loss: 2.4914e-04 - mean_absolute_error: 0.0112 58/126 [============>.................] - ETA: 0s - loss: 2.5752e-04 - mean_absolute_error: 0.0115 71/126 [===============>..............] - ETA: 0s - loss: 2.6120e-04 - mean_absolute_error: 0.0117 84/126 [===================>..........] - ETA: 0s - loss: 2.4769e-04 - mean_absolute_error: 0.0114 97/126 [======================>.......] - ETA: 0s - loss: 2.4542e-04 - mean_absolute_error: 0.0115112/126 [=========================>....] - ETA: 0s - loss: 2.5764e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 1s 4ms/step - loss: 2.5256e-04 - mean_absolute_error: 0.0117 - val_loss: 2.4907e-04 - val_mean_absolute_error: 0.0134
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 8.2898e-04 - mean_absolute_error: 0.0204 14/126 [==>...........................] - ETA: 0s - loss: 2.6282e-04 - mean_absolute_error: 0.0118 29/126 [=====>........................] - ETA: 0s - loss: 2.3544e-04 - mean_absolute_error: 0.0106 44/126 [=========>....................] - ETA: 0s - loss: 2.2125e-04 - mean_absolute_error: 0.0105 58/126 [============>.................] - ETA: 0s - loss: 2.2755e-04 - mean_absolute_error: 0.0107 69/126 [===============>..............] - ETA: 0s - loss: 2.2452e-04 - mean_absolute_error: 0.0107 80/126 [==================>...........] - ETA: 0s - loss: 2.2468e-04 - mean_absolute_error: 0.0108 97/126 [======================>.......] - ETA: 0s - loss: 2.3134e-04 - mean_absolute_error: 0.0112115/126 [==========================>...] - ETA: 0s - loss: 2.3358e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 1s 4ms/step - loss: 2.3223e-04 - mean_absolute_error: 0.0110 - val_loss: 2.2556e-04 - val_mean_absolute_error: 0.0127
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 1.9188e-04 - mean_absolute_error: 0.0112 14/126 [==>...........................] - ETA: 0s - loss: 2.8118e-04 - mean_absolute_error: 0.0121 27/126 [=====>........................] - ETA: 0s - loss: 2.9665e-04 - mean_absolute_error: 0.0130 40/126 [========>.....................] - ETA: 0s - loss: 2.5256e-04 - mean_absolute_error: 0.0119 52/126 [===========>..................] - ETA: 0s - loss: 2.3629e-04 - mean_absolute_error: 0.0114 67/126 [==============>...............] - ETA: 0s - loss: 2.4394e-04 - mean_absolute_error: 0.0114 80/126 [==================>...........] - ETA: 0s - loss: 2.4317e-04 - mean_absolute_error: 0.0114 92/126 [====================>.........] - ETA: 0s - loss: 2.3362e-04 - mean_absolute_error: 0.0113105/126 [========================>.....] - ETA: 0s - loss: 2.3301e-04 - mean_absolute_error: 0.0112119/126 [===========================>..] - ETA: 0s - loss: 2.2908e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 1s 4ms/step - loss: 2.2821e-04 - mean_absolute_error: 0.0111 - val_loss: 1.0752e-04 - val_mean_absolute_error: 0.0080
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 1.8659e-04 - mean_absolute_error: 0.0100 18/126 [===>..........................] - ETA: 0s - loss: 3.3258e-04 - mean_absolute_error: 0.0131 32/126 [======>.......................] - ETA: 0s - loss: 2.6020e-04 - mean_absolute_error: 0.0115 45/126 [=========>....................] - ETA: 0s - loss: 2.2690e-04 - mean_absolute_error: 0.0109 57/126 [============>.................] - ETA: 0s - loss: 2.3766e-04 - mean_absolute_error: 0.0111 70/126 [===============>..............] - ETA: 0s - loss: 2.6430e-04 - mean_absolute_error: 0.0119 85/126 [===================>..........] - ETA: 0s - loss: 2.6338e-04 - mean_absolute_error: 0.0120101/126 [=======================>......] - ETA: 0s - loss: 2.7037e-04 - mean_absolute_error: 0.0122118/126 [===========================>..] - ETA: 0s - loss: 2.7307e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 1s 4ms/step - loss: 2.6716e-04 - mean_absolute_error: 0.0120 - val_loss: 1.1290e-04 - val_mean_absolute_error: 0.0083
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 2.7967e-04 - mean_absolute_error: 0.0122 15/126 [==>...........................] - ETA: 0s - loss: 2.0845e-04 - mean_absolute_error: 0.0101 29/126 [=====>........................] - ETA: 0s - loss: 2.0520e-04 - mean_absolute_error: 0.0103 42/126 [=========>....................] - ETA: 0s - loss: 2.0998e-04 - mean_absolute_error: 0.0104 57/126 [============>.................] - ETA: 0s - loss: 2.3457e-04 - mean_absolute_error: 0.0109 72/126 [================>.............] - ETA: 0s - loss: 2.2808e-04 - mean_absolute_error: 0.0107 88/126 [===================>..........] - ETA: 0s - loss: 2.1968e-04 - mean_absolute_error: 0.0105106/126 [========================>.....] - ETA: 0s - loss: 2.1859e-04 - mean_absolute_error: 0.0106122/126 [============================>.] - ETA: 0s - loss: 2.1509e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 4ms/step - loss: 2.1396e-04 - mean_absolute_error: 0.0106 - val_loss: 1.1190e-04 - val_mean_absolute_error: 0.0082
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 2.4891e-04 - mean_absolute_error: 0.0113 16/126 [==>...........................] - ETA: 0s - loss: 2.0989e-04 - mean_absolute_error: 0.0108 25/126 [====>.........................] - ETA: 0s - loss: 2.0908e-04 - mean_absolute_error: 0.0109 38/126 [========>.....................] - ETA: 0s - loss: 2.1966e-04 - mean_absolute_error: 0.0109 52/126 [===========>..................] - ETA: 0s - loss: 2.4315e-04 - mean_absolute_error: 0.0115 69/126 [===============>..............] - ETA: 0s - loss: 2.4962e-04 - mean_absolute_error: 0.0116 84/126 [===================>..........] - ETA: 0s - loss: 2.4360e-04 - mean_absolute_error: 0.0115100/126 [======================>.......] - ETA: 0s - loss: 2.4923e-04 - mean_absolute_error: 0.0117115/126 [==========================>...] - ETA: 0s - loss: 2.4077e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 1s 4ms/step - loss: 2.4212e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2345e-04 - val_mean_absolute_error: 0.0089
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 3.6192e-04 - mean_absolute_error: 0.0138 14/126 [==>...........................] - ETA: 0s - loss: 2.6350e-04 - mean_absolute_error: 0.0117 27/126 [=====>........................] - ETA: 0s - loss: 2.6821e-04 - mean_absolute_error: 0.0122 41/126 [========>.....................] - ETA: 0s - loss: 2.7520e-04 - mean_absolute_error: 0.0125 54/126 [===========>..................] - ETA: 0s - loss: 2.5303e-04 - mean_absolute_error: 0.0119 66/126 [==============>...............] - ETA: 0s - loss: 2.4388e-04 - mean_absolute_error: 0.0116 78/126 [=================>............] - ETA: 0s - loss: 2.6987e-04 - mean_absolute_error: 0.0122 93/126 [=====================>........] - ETA: 0s - loss: 2.6628e-04 - mean_absolute_error: 0.0123107/126 [========================>.....] - ETA: 0s - loss: 2.7408e-04 - mean_absolute_error: 0.0124120/126 [===========================>..] - ETA: 0s - loss: 2.6066e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 1s 4ms/step - loss: 2.5734e-04 - mean_absolute_error: 0.0120 - val_loss: 9.7045e-05 - val_mean_absolute_error: 0.0076
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 1.8284e-04 - mean_absolute_error: 0.0092 14/126 [==>...........................] - ETA: 0s - loss: 1.8178e-04 - mean_absolute_error: 0.0101 28/126 [=====>........................] - ETA: 0s - loss: 2.0434e-04 - mean_absolute_error: 0.0106 41/126 [========>.....................] - ETA: 0s - loss: 1.9204e-04 - mean_absolute_error: 0.0103 55/126 [============>.................] - ETA: 0s - loss: 1.9851e-04 - mean_absolute_error: 0.0104 71/126 [===============>..............] - ETA: 0s - loss: 1.9827e-04 - mean_absolute_error: 0.0103 87/126 [===================>..........] - ETA: 0s - loss: 2.0868e-04 - mean_absolute_error: 0.0105100/126 [======================>.......] - ETA: 0s - loss: 2.1266e-04 - mean_absolute_error: 0.0105116/126 [==========================>...] - ETA: 0s - loss: 2.1247e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 1s 4ms/step - loss: 2.1564e-04 - mean_absolute_error: 0.0105 - val_loss: 9.7124e-05 - val_mean_absolute_error: 0.0076
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 1.5942e-04 - mean_absolute_error: 0.0097 14/126 [==>...........................] - ETA: 0s - loss: 2.4319e-04 - mean_absolute_error: 0.0109 28/126 [=====>........................] - ETA: 0s - loss: 2.2336e-04 - mean_absolute_error: 0.0109 41/126 [========>.....................] - ETA: 0s - loss: 2.0735e-04 - mean_absolute_error: 0.0106 57/126 [============>.................] - ETA: 0s - loss: 2.1588e-04 - mean_absolute_error: 0.0105 70/126 [===============>..............] - ETA: 0s - loss: 2.1785e-04 - mean_absolute_error: 0.0107 83/126 [==================>...........] - ETA: 0s - loss: 2.1853e-04 - mean_absolute_error: 0.0107 97/126 [======================>.......] - ETA: 0s - loss: 2.1239e-04 - mean_absolute_error: 0.0107111/126 [=========================>....] - ETA: 0s - loss: 2.1868e-04 - mean_absolute_error: 0.0108123/126 [============================>.] - ETA: 0s - loss: 2.1529e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 1s 4ms/step - loss: 2.1497e-04 - mean_absolute_error: 0.0107 - val_loss: 1.2208e-04 - val_mean_absolute_error: 0.0087
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 1.2904e-04 - mean_absolute_error: 0.0091 14/126 [==>...........................] - ETA: 0s - loss: 1.7963e-04 - mean_absolute_error: 0.0100 27/126 [=====>........................] - ETA: 0s - loss: 2.0082e-04 - mean_absolute_error: 0.0104 43/126 [=========>....................] - ETA: 0s - loss: 2.0144e-04 - mean_absolute_error: 0.0102 58/126 [============>.................] - ETA: 0s - loss: 2.1343e-04 - mean_absolute_error: 0.0104 74/126 [================>.............] - ETA: 0s - loss: 2.1597e-04 - mean_absolute_error: 0.0107 92/126 [====================>.........] - ETA: 0s - loss: 2.1283e-04 - mean_absolute_error: 0.0107115/126 [==========================>...] - ETA: 0s - loss: 2.2576e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 4ms/step - loss: 2.2752e-04 - mean_absolute_error: 0.0110 - val_loss: 1.7051e-04 - val_mean_absolute_error: 0.0108
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.8647e-04 - mean_absolute_error: 0.0105 17/126 [===>..........................] - ETA: 0s - loss: 3.9737e-04 - mean_absolute_error: 0.0148 36/126 [=======>......................] - ETA: 0s - loss: 3.2014e-04 - mean_absolute_error: 0.0131 54/126 [===========>..................] - ETA: 0s - loss: 2.8941e-04 - mean_absolute_error: 0.0123 76/126 [=================>............] - ETA: 0s - loss: 2.5913e-04 - mean_absolute_error: 0.0117 98/126 [======================>.......] - ETA: 0s - loss: 2.4799e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.4945e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.4586e-04 - mean_absolute_error: 0.0115 - val_loss: 1.0353e-04 - val_mean_absolute_error: 0.0079
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 1.5462e-04 - mean_absolute_error: 0.0104 21/126 [====>.........................] - ETA: 0s - loss: 1.8091e-04 - mean_absolute_error: 0.0099 39/126 [========>.....................] - ETA: 0s - loss: 1.9855e-04 - mean_absolute_error: 0.0105 56/126 [============>.................] - ETA: 0s - loss: 1.9252e-04 - mean_absolute_error: 0.0103 71/126 [===============>..............] - ETA: 0s - loss: 2.0807e-04 - mean_absolute_error: 0.0105 86/126 [===================>..........] - ETA: 0s - loss: 2.0193e-04 - mean_absolute_error: 0.0103101/126 [=======================>......] - ETA: 0s - loss: 2.0843e-04 - mean_absolute_error: 0.0104120/126 [===========================>..] - ETA: 0s - loss: 2.1078e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 4ms/step - loss: 2.1040e-04 - mean_absolute_error: 0.0106 - val_loss: 2.1107e-04 - val_mean_absolute_error: 0.0122
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 3.2257e-04 - mean_absolute_error: 0.0156 14/126 [==>...........................] - ETA: 0s - loss: 1.8655e-04 - mean_absolute_error: 0.0104 27/126 [=====>........................] - ETA: 0s - loss: 1.7524e-04 - mean_absolute_error: 0.0099 42/126 [=========>....................] - ETA: 0s - loss: 1.9488e-04 - mean_absolute_error: 0.0104 59/126 [=============>................] - ETA: 0s - loss: 2.0462e-04 - mean_absolute_error: 0.0105 79/126 [=================>............] - ETA: 0s - loss: 2.0322e-04 - mean_absolute_error: 0.0104101/126 [=======================>......] - ETA: 0s - loss: 2.1867e-04 - mean_absolute_error: 0.0108118/126 [===========================>..] - ETA: 0s - loss: 2.1743e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 0s 3ms/step - loss: 2.2184e-04 - mean_absolute_error: 0.0108 - val_loss: 1.1141e-04 - val_mean_absolute_error: 0.0085
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.3392e-04 - mean_absolute_error: 0.0101 20/126 [===>..........................] - ETA: 0s - loss: 1.7162e-04 - mean_absolute_error: 0.0097 39/126 [========>.....................] - ETA: 0s - loss: 2.0360e-04 - mean_absolute_error: 0.0108 62/126 [=============>................] - ETA: 0s - loss: 2.5811e-04 - mean_absolute_error: 0.0121 84/126 [===================>..........] - ETA: 0s - loss: 2.9780e-04 - mean_absolute_error: 0.0132108/126 [========================>.....] - ETA: 0s - loss: 3.2280e-04 - mean_absolute_error: 0.0138126/126 [==============================] - 0s 3ms/step - loss: 3.2429e-04 - mean_absolute_error: 0.0139 - val_loss: 2.2157e-04 - val_mean_absolute_error: 0.0124
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 2.6496e-04 - mean_absolute_error: 0.0114 18/126 [===>..........................] - ETA: 0s - loss: 3.3770e-04 - mean_absolute_error: 0.0142 37/126 [=======>......................] - ETA: 0s - loss: 3.1300e-04 - mean_absolute_error: 0.0137 59/126 [=============>................] - ETA: 0s - loss: 2.8189e-04 - mean_absolute_error: 0.0127 80/126 [==================>...........] - ETA: 0s - loss: 2.5773e-04 - mean_absolute_error: 0.0119105/126 [========================>.....] - ETA: 0s - loss: 2.4852e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.4009e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.3787e-04 - mean_absolute_error: 0.0112 - val_loss: 1.8484e-04 - val_mean_absolute_error: 0.0113
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.3162e-04 - mean_absolute_error: 0.0128 20/126 [===>..........................] - ETA: 0s - loss: 2.2156e-04 - mean_absolute_error: 0.0109 39/126 [========>.....................] - ETA: 0s - loss: 1.9915e-04 - mean_absolute_error: 0.0105 60/126 [=============>................] - ETA: 0s - loss: 2.2018e-04 - mean_absolute_error: 0.0107 85/126 [===================>..........] - ETA: 0s - loss: 2.0947e-04 - mean_absolute_error: 0.0105109/126 [========================>.....] - ETA: 0s - loss: 2.0224e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 3ms/step - loss: 2.0141e-04 - mean_absolute_error: 0.0103 - val_loss: 9.5818e-05 - val_mean_absolute_error: 0.0077
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 6.9874e-05 - mean_absolute_error: 0.0070 23/126 [====>.........................] - ETA: 0s - loss: 2.0307e-04 - mean_absolute_error: 0.0100 42/126 [=========>....................] - ETA: 0s - loss: 2.0272e-04 - mean_absolute_error: 0.0100 60/126 [=============>................] - ETA: 0s - loss: 2.2704e-04 - mean_absolute_error: 0.0106 79/126 [=================>............] - ETA: 0s - loss: 2.1448e-04 - mean_absolute_error: 0.0102 98/126 [======================>.......] - ETA: 0s - loss: 2.0133e-04 - mean_absolute_error: 0.0100113/126 [=========================>....] - ETA: 0s - loss: 1.9789e-04 - mean_absolute_error: 0.0100126/126 [==============================] - ETA: 0s - loss: 2.1618e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 3ms/step - loss: 2.1618e-04 - mean_absolute_error: 0.0106 - val_loss: 5.4048e-04 - val_mean_absolute_error: 0.0213
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 0.0013 - mean_absolute_error: 0.0238 24/126 [====>.........................] - ETA: 0s - loss: 3.1187e-04 - mean_absolute_error: 0.0123 45/126 [=========>....................] - ETA: 0s - loss: 2.5003e-04 - mean_absolute_error: 0.0111 70/126 [===============>..............] - ETA: 0s - loss: 2.2774e-04 - mean_absolute_error: 0.0107 95/126 [=====================>........] - ETA: 0s - loss: 2.1610e-04 - mean_absolute_error: 0.0105120/126 [===========================>..] - ETA: 0s - loss: 2.1197e-04 - mean_absolute_error: 0.0105126/126 [==============================] - 0s 3ms/step - loss: 2.0785e-04 - mean_absolute_error: 0.0104 - val_loss: 9.3334e-05 - val_mean_absolute_error: 0.0075
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.3143e-04 - mean_absolute_error: 0.0088 24/126 [====>.........................] - ETA: 0s - loss: 2.4597e-04 - mean_absolute_error: 0.0108 50/126 [==========>...................] - ETA: 0s - loss: 2.3627e-04 - mean_absolute_error: 0.0110 76/126 [=================>............] - ETA: 0s - loss: 2.2134e-04 - mean_absolute_error: 0.0107102/126 [=======================>......] - ETA: 0s - loss: 2.0565e-04 - mean_absolute_error: 0.0104123/126 [============================>.] - ETA: 0s - loss: 1.9892e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 3ms/step - loss: 2.0185e-04 - mean_absolute_error: 0.0103 - val_loss: 9.2491e-05 - val_mean_absolute_error: 0.0074
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 7.5699e-05 - mean_absolute_error: 0.0067 23/126 [====>.........................] - ETA: 0s - loss: 1.5055e-04 - mean_absolute_error: 0.0093 47/126 [==========>...................] - ETA: 0s - loss: 1.9850e-04 - mean_absolute_error: 0.0103 69/126 [===============>..............] - ETA: 0s - loss: 2.0089e-04 - mean_absolute_error: 0.0105 93/126 [=====================>........] - ETA: 0s - loss: 2.1385e-04 - mean_absolute_error: 0.0107117/126 [==========================>...] - ETA: 0s - loss: 2.0973e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 3ms/step - loss: 2.1051e-04 - mean_absolute_error: 0.0106 - val_loss: 1.5261e-04 - val_mean_absolute_error: 0.0099
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 2.6387e-04 - mean_absolute_error: 0.0103 26/126 [=====>........................] - ETA: 0s - loss: 1.9974e-04 - mean_absolute_error: 0.0097 51/126 [===========>..................] - ETA: 0s - loss: 2.0232e-04 - mean_absolute_error: 0.0102 75/126 [================>.............] - ETA: 0s - loss: 1.9409e-04 - mean_absolute_error: 0.0100 99/126 [======================>.......] - ETA: 0s - loss: 1.9576e-04 - mean_absolute_error: 0.0101124/126 [============================>.] - ETA: 0s - loss: 2.0052e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 2ms/step - loss: 2.0108e-04 - mean_absolute_error: 0.0103 - val_loss: 9.2554e-05 - val_mean_absolute_error: 0.0074
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.2574e-04 - mean_absolute_error: 0.0091 25/126 [====>.........................] - ETA: 0s - loss: 1.9403e-04 - mean_absolute_error: 0.0098 49/126 [==========>...................] - ETA: 0s - loss: 2.1161e-04 - mean_absolute_error: 0.0103 74/126 [================>.............] - ETA: 0s - loss: 2.1723e-04 - mean_absolute_error: 0.0107100/126 [======================>.......] - ETA: 0s - loss: 2.3031e-04 - mean_absolute_error: 0.0112126/126 [==============================] - ETA: 0s - loss: 2.3931e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.3931e-04 - mean_absolute_error: 0.0114 - val_loss: 1.7374e-04 - val_mean_absolute_error: 0.0107
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 3.4810e-04 - mean_absolute_error: 0.0138 16/126 [==>...........................] - ETA: 0s - loss: 2.2901e-04 - mean_absolute_error: 0.0116 31/126 [======>.......................] - ETA: 0s - loss: 2.0210e-04 - mean_absolute_error: 0.0108 46/126 [=========>....................] - ETA: 0s - loss: 2.0248e-04 - mean_absolute_error: 0.0108 63/126 [==============>...............] - ETA: 0s - loss: 2.0826e-04 - mean_absolute_error: 0.0106 81/126 [==================>...........] - ETA: 0s - loss: 2.0778e-04 - mean_absolute_error: 0.0106 95/126 [=====================>........] - ETA: 0s - loss: 2.1254e-04 - mean_absolute_error: 0.0109118/126 [===========================>..] - ETA: 0s - loss: 2.4397e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 4ms/step - loss: 2.5143e-04 - mean_absolute_error: 0.0119 - val_loss: 9.1698e-05 - val_mean_absolute_error: 0.0074
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 1.3438e-04 - mean_absolute_error: 0.0085 23/126 [====>.........................] - ETA: 0s - loss: 2.1889e-04 - mean_absolute_error: 0.0105 41/126 [========>.....................] - ETA: 0s - loss: 2.1171e-04 - mean_absolute_error: 0.0107 59/126 [=============>................] - ETA: 0s - loss: 2.0930e-04 - mean_absolute_error: 0.0106 77/126 [=================>............] - ETA: 0s - loss: 2.0247e-04 - mean_absolute_error: 0.0104 97/126 [======================>.......] - ETA: 0s - loss: 2.0423e-04 - mean_absolute_error: 0.0104120/126 [===========================>..] - ETA: 0s - loss: 2.1091e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 3ms/step - loss: 2.0754e-04 - mean_absolute_error: 0.0105 - val_loss: 1.6542e-04 - val_mean_absolute_error: 0.0107
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 2.2809e-04 - mean_absolute_error: 0.0118 22/126 [====>.........................] - ETA: 0s - loss: 2.5115e-04 - mean_absolute_error: 0.0111 47/126 [==========>...................] - ETA: 0s - loss: 2.6507e-04 - mean_absolute_error: 0.0118 73/126 [================>.............] - ETA: 0s - loss: 2.6447e-04 - mean_absolute_error: 0.0119 99/126 [======================>.......] - ETA: 0s - loss: 2.5105e-04 - mean_absolute_error: 0.0117124/126 [============================>.] - ETA: 0s - loss: 2.3320e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 2ms/step - loss: 2.3197e-04 - mean_absolute_error: 0.0112 - val_loss: 8.9449e-05 - val_mean_absolute_error: 0.0072
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 1.2539e-04 - mean_absolute_error: 0.0097 24/126 [====>.........................] - ETA: 0s - loss: 2.3762e-04 - mean_absolute_error: 0.0113 42/126 [=========>....................] - ETA: 0s - loss: 2.1621e-04 - mean_absolute_error: 0.0105 65/126 [==============>...............] - ETA: 0s - loss: 2.1180e-04 - mean_absolute_error: 0.0105 82/126 [==================>...........] - ETA: 0s - loss: 2.0075e-04 - mean_absolute_error: 0.0103 98/126 [======================>.......] - ETA: 0s - loss: 1.9787e-04 - mean_absolute_error: 0.0102116/126 [==========================>...] - ETA: 0s - loss: 1.9606e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.9559e-04 - mean_absolute_error: 0.0101 - val_loss: 1.1591e-04 - val_mean_absolute_error: 0.0085
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 1.1747e-04 - mean_absolute_error: 0.0088 24/126 [====>.........................] - ETA: 0s - loss: 1.9450e-04 - mean_absolute_error: 0.0099 48/126 [==========>...................] - ETA: 0s - loss: 2.3545e-04 - mean_absolute_error: 0.0114 72/126 [================>.............] - ETA: 0s - loss: 2.1638e-04 - mean_absolute_error: 0.0109 95/126 [=====================>........] - ETA: 0s - loss: 2.1463e-04 - mean_absolute_error: 0.0108119/126 [===========================>..] - ETA: 0s - loss: 2.1983e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 2ms/step - loss: 2.1686e-04 - mean_absolute_error: 0.0109 - val_loss: 1.1558e-04 - val_mean_absolute_error: 0.0085
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 2.5519e-04 - mean_absolute_error: 0.0101 24/126 [====>.........................] - ETA: 0s - loss: 1.8523e-04 - mean_absolute_error: 0.0095 50/126 [==========>...................] - ETA: 0s - loss: 1.7270e-04 - mean_absolute_error: 0.0095 76/126 [=================>............] - ETA: 0s - loss: 1.8629e-04 - mean_absolute_error: 0.0098101/126 [=======================>......] - ETA: 0s - loss: 1.9341e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 2ms/step - loss: 1.9111e-04 - mean_absolute_error: 0.0100 - val_loss: 9.1466e-05 - val_mean_absolute_error: 0.0074
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 4.2737e-04 - mean_absolute_error: 0.0125 25/126 [====>.........................] - ETA: 0s - loss: 2.3491e-04 - mean_absolute_error: 0.0107 51/126 [===========>..................] - ETA: 0s - loss: 2.3306e-04 - mean_absolute_error: 0.0112 74/126 [================>.............] - ETA: 0s - loss: 2.1658e-04 - mean_absolute_error: 0.0106 99/126 [======================>.......] - ETA: 0s - loss: 2.2070e-04 - mean_absolute_error: 0.0109124/126 [============================>.] - ETA: 0s - loss: 2.1932e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 2ms/step - loss: 2.1865e-04 - mean_absolute_error: 0.0109 - val_loss: 1.2226e-04 - val_mean_absolute_error: 0.0090
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 6.7189e-04 - mean_absolute_error: 0.0148 25/126 [====>.........................] - ETA: 0s - loss: 2.4013e-04 - mean_absolute_error: 0.0117 50/126 [==========>...................] - ETA: 0s - loss: 2.4538e-04 - mean_absolute_error: 0.0117 75/126 [================>.............] - ETA: 0s - loss: 2.5963e-04 - mean_absolute_error: 0.0123102/126 [=======================>......] - ETA: 0s - loss: 2.5637e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 2ms/step - loss: 2.4852e-04 - mean_absolute_error: 0.0119 - val_loss: 1.1252e-04 - val_mean_absolute_error: 0.0084
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.2999e-04 - mean_absolute_error: 0.0089 22/126 [====>.........................] - ETA: 0s - loss: 1.7229e-04 - mean_absolute_error: 0.0094 48/126 [==========>...................] - ETA: 0s - loss: 2.1581e-04 - mean_absolute_error: 0.0104 75/126 [================>.............] - ETA: 0s - loss: 2.1130e-04 - mean_absolute_error: 0.0106 99/126 [======================>.......] - ETA: 0s - loss: 2.1484e-04 - mean_absolute_error: 0.0108123/126 [============================>.] - ETA: 0s - loss: 2.1437e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 0s 2ms/step - loss: 2.1366e-04 - mean_absolute_error: 0.0107 - val_loss: 9.4585e-05 - val_mean_absolute_error: 0.0075
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 1.4007e-04 - mean_absolute_error: 0.0093 25/126 [====>.........................] - ETA: 0s - loss: 1.6273e-04 - mean_absolute_error: 0.0091 51/126 [===========>..................] - ETA: 0s - loss: 1.7315e-04 - mean_absolute_error: 0.0094 78/126 [=================>............] - ETA: 0s - loss: 1.9524e-04 - mean_absolute_error: 0.0098103/126 [=======================>......] - ETA: 0s - loss: 1.8495e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.9809e-04 - mean_absolute_error: 0.0101 - val_loss: 1.7580e-04 - val_mean_absolute_error: 0.0110
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 2.3563e-04 - mean_absolute_error: 0.0123 23/126 [====>.........................] - ETA: 0s - loss: 2.0810e-04 - mean_absolute_error: 0.0103 43/126 [=========>....................] - ETA: 0s - loss: 2.2448e-04 - mean_absolute_error: 0.0110 67/126 [==============>...............] - ETA: 0s - loss: 2.3510e-04 - mean_absolute_error: 0.0112 94/126 [=====================>........] - ETA: 0s - loss: 2.1879e-04 - mean_absolute_error: 0.0109121/126 [===========================>..] - ETA: 0s - loss: 2.0550e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 2ms/step - loss: 2.0405e-04 - mean_absolute_error: 0.0105 - val_loss: 8.7191e-05 - val_mean_absolute_error: 0.0071

<keras.src.callbacks.History at 0x253baff3d90>

After the training and fitting of the Machine Learning model for Austrailia, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
austrailia_train_pred = austrailia_model.predict(X_austrailia_train).flatten()

plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Training Set Predictions vs. Observations")
plt.show()

austrailia_val_pred = austrailia_model.predict(X_austrailia_val).flatten()

plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Validation Set Predictions vs. Observations")
plt.show()

austrailia_test_pred = austrailia_model.predict(X_austrailia_test).flatten()

plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 45s 35/126 [=======>......................] - ETA: 0s  76/126 [=================>............] - ETA: 0s120/126 [===========================>..] - ETA: 0s126/126 [==============================] - 1s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Austrailia’s international currency rate with the United States.

```{python}
# Plotting Austrailia's observational (reference) data with the predictions of 
# its Machine Learning Model (as a way to visually inspect the effectiveness of 
# the model) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Once Austraila’s data was completely trained and visualized, I worked on Canada’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Canada’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Canada's data into train, test, and validation sets on 3 mediums: 
# the X-axis, the y-axis, and the indices (represented by dates)
dates_canada_train, X_canada_train, y_canada_train = dates_canada[:percentile_80], X_canada[:percentile_80], y_canada[:percentile_80]
dates_canada_val, X_canada_val, y_canada_val = dates_canada[percentile_80:percentile_90], X_canada[percentile_80:percentile_90], y_canada[percentile_80:percentile_90]
dates_canada_test, X_canada_test, y_canada_test = dates_canada[percentile_90:], X_canada[percentile_90:], y_canada[percentile_90:]

plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Canada's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Canada
canada_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

canada_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

canada_model.fit(X_canada_train, y_canada_train, validation_data=(X_canada_val, y_canada_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 4:11 - loss: 1.5267 - mean_absolute_error: 1.2200 20/126 [===>..........................] - ETA: 0s - loss: 1.1891 - mean_absolute_error: 1.0711   39/126 [========>.....................] - ETA: 0s - loss: 0.7701 - mean_absolute_error: 0.7898 61/126 [=============>................] - ETA: 0s - loss: 0.5009 - mean_absolute_error: 0.5522 79/126 [=================>............] - ETA: 0s - loss: 0.3883 - mean_absolute_error: 0.4408100/126 [======================>.......] - ETA: 0s - loss: 0.3073 - mean_absolute_error: 0.3581119/126 [===========================>..] - ETA: 0s - loss: 0.2587 - mean_absolute_error: 0.3079126/126 [==============================] - 3s 6ms/step - loss: 0.2456 - mean_absolute_error: 0.2944 - val_loss: 5.1962e-04 - val_mean_absolute_error: 0.0191
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0022 - mean_absolute_error: 0.0422 21/126 [====>.........................] - ETA: 0s - loss: 0.0021 - mean_absolute_error: 0.0402 42/126 [=========>....................] - ETA: 0s - loss: 0.0019 - mean_absolute_error: 0.0387 64/126 [==============>...............] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0374 86/126 [===================>..........] - ETA: 0s - loss: 0.0017 - mean_absolute_error: 0.0363108/126 [========================>.....] - ETA: 0s - loss: 0.0016 - mean_absolute_error: 0.0353126/126 [==============================] - 0s 3ms/step - loss: 0.0016 - mean_absolute_error: 0.0344 - val_loss: 1.4864e-04 - val_mean_absolute_error: 0.0096
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 0.0011 - mean_absolute_error: 0.0289 24/126 [====>.........................] - ETA: 0s - loss: 9.9261e-04 - mean_absolute_error: 0.0275 43/126 [=========>....................] - ETA: 0s - loss: 9.0155e-04 - mean_absolute_error: 0.0259 66/126 [==============>...............] - ETA: 0s - loss: 8.2347e-04 - mean_absolute_error: 0.0248 87/126 [===================>..........] - ETA: 0s - loss: 7.5821e-04 - mean_absolute_error: 0.0237101/126 [=======================>......] - ETA: 0s - loss: 7.1977e-04 - mean_absolute_error: 0.0230115/126 [==========================>...] - ETA: 0s - loss: 6.8214e-04 - mean_absolute_error: 0.0223126/126 [==============================] - 0s 3ms/step - loss: 6.5438e-04 - mean_absolute_error: 0.0217 - val_loss: 1.1001e-04 - val_mean_absolute_error: 0.0083
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 4.0562e-04 - mean_absolute_error: 0.0183 22/126 [====>.........................] - ETA: 0s - loss: 3.5293e-04 - mean_absolute_error: 0.0161 44/126 [=========>....................] - ETA: 0s - loss: 3.1123e-04 - mean_absolute_error: 0.0150 65/126 [==============>...............] - ETA: 0s - loss: 2.8849e-04 - mean_absolute_error: 0.0142 85/126 [===================>..........] - ETA: 0s - loss: 2.6422e-04 - mean_absolute_error: 0.0135107/126 [========================>.....] - ETA: 0s - loss: 2.4490e-04 - mean_absolute_error: 0.0129126/126 [==============================] - 0s 3ms/step - loss: 2.3096e-04 - mean_absolute_error: 0.0125 - val_loss: 1.4810e-04 - val_mean_absolute_error: 0.0098
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.9124e-04 - mean_absolute_error: 0.0123 23/126 [====>.........................] - ETA: 0s - loss: 1.4602e-04 - mean_absolute_error: 0.0097 47/126 [==========>...................] - ETA: 0s - loss: 1.4063e-04 - mean_absolute_error: 0.0094 71/126 [===============>..............] - ETA: 0s - loss: 1.3099e-04 - mean_absolute_error: 0.0090 84/126 [===================>..........] - ETA: 0s - loss: 1.2541e-04 - mean_absolute_error: 0.0088103/126 [=======================>......] - ETA: 0s - loss: 1.2366e-04 - mean_absolute_error: 0.0087124/126 [============================>.] - ETA: 0s - loss: 1.2019e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.1952e-04 - mean_absolute_error: 0.0085 - val_loss: 1.1150e-04 - val_mean_absolute_error: 0.0083
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.9081e-04 - mean_absolute_error: 0.0097 22/126 [====>.........................] - ETA: 0s - loss: 1.1379e-04 - mean_absolute_error: 0.0083 41/126 [========>.....................] - ETA: 0s - loss: 1.0965e-04 - mean_absolute_error: 0.0080 64/126 [==============>...............] - ETA: 0s - loss: 1.0303e-04 - mean_absolute_error: 0.0077 83/126 [==================>...........] - ETA: 0s - loss: 1.0091e-04 - mean_absolute_error: 0.0077104/126 [=======================>......] - ETA: 0s - loss: 1.0139e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0234e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1544e-04 - val_mean_absolute_error: 0.0085
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 8.4238e-05 - mean_absolute_error: 0.0076 22/126 [====>.........................] - ETA: 0s - loss: 9.9905e-05 - mean_absolute_error: 0.0074 43/126 [=========>....................] - ETA: 0s - loss: 9.8505e-05 - mean_absolute_error: 0.0074 58/126 [============>.................] - ETA: 0s - loss: 1.0092e-04 - mean_absolute_error: 0.0075 76/126 [=================>............] - ETA: 0s - loss: 1.0053e-04 - mean_absolute_error: 0.0075 92/126 [====================>.........] - ETA: 0s - loss: 1.0027e-04 - mean_absolute_error: 0.0075113/126 [=========================>....] - ETA: 0s - loss: 9.8644e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8403e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1723e-04 - val_mean_absolute_error: 0.0085
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 6.1554e-05 - mean_absolute_error: 0.0064 22/126 [====>.........................] - ETA: 0s - loss: 9.2803e-05 - mean_absolute_error: 0.0072 41/126 [========>.....................] - ETA: 0s - loss: 9.8938e-05 - mean_absolute_error: 0.0074 63/126 [==============>...............] - ETA: 0s - loss: 1.0244e-04 - mean_absolute_error: 0.0076 84/126 [===================>..........] - ETA: 0s - loss: 1.0023e-04 - mean_absolute_error: 0.0075106/126 [========================>.....] - ETA: 0s - loss: 9.7741e-05 - mean_absolute_error: 0.0074126/126 [==============================] - ETA: 0s - loss: 9.8348e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8348e-05 - mean_absolute_error: 0.0075 - val_loss: 1.2330e-04 - val_mean_absolute_error: 0.0088
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.1846e-04 - mean_absolute_error: 0.0084 23/126 [====>.........................] - ETA: 0s - loss: 1.0030e-04 - mean_absolute_error: 0.0075 44/126 [=========>....................] - ETA: 0s - loss: 9.9627e-05 - mean_absolute_error: 0.0075 67/126 [==============>...............] - ETA: 0s - loss: 9.6897e-05 - mean_absolute_error: 0.0075 87/126 [===================>..........] - ETA: 0s - loss: 1.0061e-04 - mean_absolute_error: 0.0075113/126 [=========================>....] - ETA: 0s - loss: 9.9975e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.9905e-05 - mean_absolute_error: 0.0075 - val_loss: 1.5545e-04 - val_mean_absolute_error: 0.0101
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.5125e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.0173e-04 - mean_absolute_error: 0.0076 45/126 [=========>....................] - ETA: 0s - loss: 1.0279e-04 - mean_absolute_error: 0.0076 66/126 [==============>...............] - ETA: 0s - loss: 1.0150e-04 - mean_absolute_error: 0.0076 88/126 [===================>..........] - ETA: 0s - loss: 1.0191e-04 - mean_absolute_error: 0.0076112/126 [=========================>....] - ETA: 0s - loss: 9.8054e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8937e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0991e-04 - val_mean_absolute_error: 0.0080
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.0867e-04 - mean_absolute_error: 0.0086 24/126 [====>.........................] - ETA: 0s - loss: 9.5308e-05 - mean_absolute_error: 0.0073 49/126 [==========>...................] - ETA: 0s - loss: 9.4633e-05 - mean_absolute_error: 0.0073 70/126 [===============>..............] - ETA: 0s - loss: 1.0012e-04 - mean_absolute_error: 0.0075 92/126 [====================>.........] - ETA: 0s - loss: 9.9491e-05 - mean_absolute_error: 0.0075116/126 [==========================>...] - ETA: 0s - loss: 9.9174e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8548e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0923e-04 - val_mean_absolute_error: 0.0081
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 1.0501e-04 - mean_absolute_error: 0.0076 21/126 [====>.........................] - ETA: 0s - loss: 1.0129e-04 - mean_absolute_error: 0.0074 42/126 [=========>....................] - ETA: 0s - loss: 9.9847e-05 - mean_absolute_error: 0.0074 62/126 [=============>................] - ETA: 0s - loss: 9.9013e-05 - mean_absolute_error: 0.0074 81/126 [==================>...........] - ETA: 0s - loss: 9.5378e-05 - mean_absolute_error: 0.0074102/126 [=======================>......] - ETA: 0s - loss: 9.5937e-05 - mean_absolute_error: 0.0074121/126 [===========================>..] - ETA: 0s - loss: 9.7321e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 3ms/step - loss: 9.8221e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1902e-04 - val_mean_absolute_error: 0.0086
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 9.2966e-05 - mean_absolute_error: 0.0071 23/126 [====>.........................] - ETA: 0s - loss: 1.0149e-04 - mean_absolute_error: 0.0075 46/126 [=========>....................] - ETA: 0s - loss: 9.7247e-05 - mean_absolute_error: 0.0075 65/126 [==============>...............] - ETA: 0s - loss: 9.4935e-05 - mean_absolute_error: 0.0074 87/126 [===================>..........] - ETA: 0s - loss: 9.7083e-05 - mean_absolute_error: 0.0075108/126 [========================>.....] - ETA: 0s - loss: 9.8394e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8864e-05 - mean_absolute_error: 0.0075 - val_loss: 1.3708e-04 - val_mean_absolute_error: 0.0094
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 9.3226e-05 - mean_absolute_error: 0.0076 25/126 [====>.........................] - ETA: 0s - loss: 1.0716e-04 - mean_absolute_error: 0.0078 45/126 [=========>....................] - ETA: 0s - loss: 1.0688e-04 - mean_absolute_error: 0.0078 64/126 [==============>...............] - ETA: 0s - loss: 1.0099e-04 - mean_absolute_error: 0.0076 84/126 [===================>..........] - ETA: 0s - loss: 1.0062e-04 - mean_absolute_error: 0.0076104/126 [=======================>......] - ETA: 0s - loss: 1.0255e-04 - mean_absolute_error: 0.0077124/126 [============================>.] - ETA: 0s - loss: 1.0138e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0144e-04 - mean_absolute_error: 0.0077 - val_loss: 1.0907e-04 - val_mean_absolute_error: 0.0080
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 6.1645e-05 - mean_absolute_error: 0.0065 22/126 [====>.........................] - ETA: 0s - loss: 9.1143e-05 - mean_absolute_error: 0.0073 45/126 [=========>....................] - ETA: 0s - loss: 9.1784e-05 - mean_absolute_error: 0.0073 68/126 [===============>..............] - ETA: 0s - loss: 9.2580e-05 - mean_absolute_error: 0.0073 93/126 [=====================>........] - ETA: 0s - loss: 9.4154e-05 - mean_absolute_error: 0.0074116/126 [==========================>...] - ETA: 0s - loss: 9.9401e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.8543e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1526e-04 - val_mean_absolute_error: 0.0084
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 9.3441e-05 - mean_absolute_error: 0.0078 25/126 [====>.........................] - ETA: 0s - loss: 1.0407e-04 - mean_absolute_error: 0.0078 51/126 [===========>..................] - ETA: 0s - loss: 1.0261e-04 - mean_absolute_error: 0.0078 74/126 [================>.............] - ETA: 0s - loss: 1.0297e-04 - mean_absolute_error: 0.0078 96/126 [=====================>........] - ETA: 0s - loss: 1.0402e-04 - mean_absolute_error: 0.0078119/126 [===========================>..] - ETA: 0s - loss: 1.0323e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0330e-04 - mean_absolute_error: 0.0077 - val_loss: 1.0901e-04 - val_mean_absolute_error: 0.0081
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 6.4952e-05 - mean_absolute_error: 0.0066 23/126 [====>.........................] - ETA: 0s - loss: 1.0010e-04 - mean_absolute_error: 0.0076 47/126 [==========>...................] - ETA: 0s - loss: 9.6675e-05 - mean_absolute_error: 0.0074 71/126 [===============>..............] - ETA: 0s - loss: 9.8395e-05 - mean_absolute_error: 0.0075 94/126 [=====================>........] - ETA: 0s - loss: 1.0164e-04 - mean_absolute_error: 0.0076117/126 [==========================>...] - ETA: 0s - loss: 1.0155e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0226e-04 - mean_absolute_error: 0.0077 - val_loss: 1.5198e-04 - val_mean_absolute_error: 0.0099
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 6.0644e-05 - mean_absolute_error: 0.0059 21/126 [====>.........................] - ETA: 0s - loss: 9.8431e-05 - mean_absolute_error: 0.0074 42/126 [=========>....................] - ETA: 0s - loss: 1.0200e-04 - mean_absolute_error: 0.0075 62/126 [=============>................] - ETA: 0s - loss: 1.0226e-04 - mean_absolute_error: 0.0076 83/126 [==================>...........] - ETA: 0s - loss: 9.8443e-05 - mean_absolute_error: 0.0075103/126 [=======================>......] - ETA: 0s - loss: 1.0093e-04 - mean_absolute_error: 0.0076123/126 [============================>.] - ETA: 0s - loss: 1.0335e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0349e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1059e-04 - val_mean_absolute_error: 0.0082
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 6.9958e-05 - mean_absolute_error: 0.0067 21/126 [====>.........................] - ETA: 0s - loss: 9.3558e-05 - mean_absolute_error: 0.0073 42/126 [=========>....................] - ETA: 0s - loss: 9.2437e-05 - mean_absolute_error: 0.0074 58/126 [============>.................] - ETA: 0s - loss: 9.2495e-05 - mean_absolute_error: 0.0074 73/126 [================>.............] - ETA: 0s - loss: 9.2146e-05 - mean_absolute_error: 0.0074 89/126 [====================>.........] - ETA: 0s - loss: 9.5472e-05 - mean_absolute_error: 0.0075106/126 [========================>.....] - ETA: 0s - loss: 1.0039e-04 - mean_absolute_error: 0.0076123/126 [============================>.] - ETA: 0s - loss: 1.0333e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0346e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1323e-04 - val_mean_absolute_error: 0.0084
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 6.6720e-05 - mean_absolute_error: 0.0059 20/126 [===>..........................] - ETA: 0s - loss: 7.9841e-05 - mean_absolute_error: 0.0068 40/126 [========>.....................] - ETA: 0s - loss: 9.5871e-05 - mean_absolute_error: 0.0074 58/126 [============>.................] - ETA: 0s - loss: 9.3481e-05 - mean_absolute_error: 0.0074 75/126 [================>.............] - ETA: 0s - loss: 9.6242e-05 - mean_absolute_error: 0.0074 91/126 [====================>.........] - ETA: 0s - loss: 9.9053e-05 - mean_absolute_error: 0.0076109/126 [========================>.....] - ETA: 0s - loss: 1.0123e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0160e-04 - mean_absolute_error: 0.0076 - val_loss: 1.0890e-04 - val_mean_absolute_error: 0.0080
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 3.5164e-05 - mean_absolute_error: 0.0047 19/126 [===>..........................] - ETA: 0s - loss: 1.0621e-04 - mean_absolute_error: 0.0079 37/126 [=======>......................] - ETA: 0s - loss: 9.7717e-05 - mean_absolute_error: 0.0076 59/126 [=============>................] - ETA: 0s - loss: 9.5491e-05 - mean_absolute_error: 0.0075 78/126 [=================>............] - ETA: 0s - loss: 9.7514e-05 - mean_absolute_error: 0.0076 96/126 [=====================>........] - ETA: 0s - loss: 1.0281e-04 - mean_absolute_error: 0.0077117/126 [==========================>...] - ETA: 0s - loss: 1.0230e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0210e-04 - mean_absolute_error: 0.0077 - val_loss: 1.7291e-04 - val_mean_absolute_error: 0.0107
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 1.2510e-04 - mean_absolute_error: 0.0088 24/126 [====>.........................] - ETA: 0s - loss: 1.0534e-04 - mean_absolute_error: 0.0076 46/126 [=========>....................] - ETA: 0s - loss: 1.0866e-04 - mean_absolute_error: 0.0078 70/126 [===============>..............] - ETA: 0s - loss: 1.0144e-04 - mean_absolute_error: 0.0076 92/126 [====================>.........] - ETA: 0s - loss: 1.0261e-04 - mean_absolute_error: 0.0076109/126 [========================>.....] - ETA: 0s - loss: 1.0157e-04 - mean_absolute_error: 0.0076125/126 [============================>.] - ETA: 0s - loss: 1.0296e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0298e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1028e-04 - val_mean_absolute_error: 0.0082
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 6.3218e-05 - mean_absolute_error: 0.0061 20/126 [===>..........................] - ETA: 0s - loss: 1.0385e-04 - mean_absolute_error: 0.0078 39/126 [========>.....................] - ETA: 0s - loss: 1.1308e-04 - mean_absolute_error: 0.0079 61/126 [=============>................] - ETA: 0s - loss: 1.0510e-04 - mean_absolute_error: 0.0077 82/126 [==================>...........] - ETA: 0s - loss: 1.0535e-04 - mean_absolute_error: 0.0077103/126 [=======================>......] - ETA: 0s - loss: 1.0409e-04 - mean_absolute_error: 0.0077125/126 [============================>.] - ETA: 0s - loss: 1.0321e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0315e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1596e-04 - val_mean_absolute_error: 0.0085
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 1.1771e-04 - mean_absolute_error: 0.0086 22/126 [====>.........................] - ETA: 0s - loss: 1.0120e-04 - mean_absolute_error: 0.0079 43/126 [=========>....................] - ETA: 0s - loss: 9.7263e-05 - mean_absolute_error: 0.0076 65/126 [==============>...............] - ETA: 0s - loss: 1.0270e-04 - mean_absolute_error: 0.0077 85/126 [===================>..........] - ETA: 0s - loss: 1.0253e-04 - mean_absolute_error: 0.0076104/126 [=======================>......] - ETA: 0s - loss: 1.0060e-04 - mean_absolute_error: 0.0076124/126 [============================>.] - ETA: 0s - loss: 1.0356e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0363e-04 - mean_absolute_error: 0.0077 - val_loss: 1.7474e-04 - val_mean_absolute_error: 0.0108
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 1.4622e-04 - mean_absolute_error: 0.0094 21/126 [====>.........................] - ETA: 0s - loss: 1.1281e-04 - mean_absolute_error: 0.0083 40/126 [========>.....................] - ETA: 0s - loss: 1.0461e-04 - mean_absolute_error: 0.0079 59/126 [=============>................] - ETA: 0s - loss: 9.8528e-05 - mean_absolute_error: 0.0076 78/126 [=================>............] - ETA: 0s - loss: 9.7561e-05 - mean_absolute_error: 0.0076 98/126 [======================>.......] - ETA: 0s - loss: 1.0356e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0413e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0363e-04 - mean_absolute_error: 0.0077 - val_loss: 1.4035e-04 - val_mean_absolute_error: 0.0095
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 1.2200e-04 - mean_absolute_error: 0.0092 19/126 [===>..........................] - ETA: 0s - loss: 1.1927e-04 - mean_absolute_error: 0.0084 41/126 [========>.....................] - ETA: 0s - loss: 1.1154e-04 - mean_absolute_error: 0.0080 61/126 [=============>................] - ETA: 0s - loss: 1.1325e-04 - mean_absolute_error: 0.0082 82/126 [==================>...........] - ETA: 0s - loss: 1.0819e-04 - mean_absolute_error: 0.0080102/126 [=======================>......] - ETA: 0s - loss: 1.1115e-04 - mean_absolute_error: 0.0081123/126 [============================>.] - ETA: 0s - loss: 1.1179e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1156e-04 - mean_absolute_error: 0.0081 - val_loss: 1.1337e-04 - val_mean_absolute_error: 0.0083
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 6.4480e-05 - mean_absolute_error: 0.0069 21/126 [====>.........................] - ETA: 0s - loss: 1.0490e-04 - mean_absolute_error: 0.0077 42/126 [=========>....................] - ETA: 0s - loss: 1.1082e-04 - mean_absolute_error: 0.0078 62/126 [=============>................] - ETA: 0s - loss: 1.0738e-04 - mean_absolute_error: 0.0078 81/126 [==================>...........] - ETA: 0s - loss: 1.0930e-04 - mean_absolute_error: 0.0079102/126 [=======================>......] - ETA: 0s - loss: 1.0866e-04 - mean_absolute_error: 0.0079123/126 [============================>.] - ETA: 0s - loss: 1.0883e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0889e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2572e-04 - val_mean_absolute_error: 0.0089
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 1.2181e-04 - mean_absolute_error: 0.0083 21/126 [====>.........................] - ETA: 0s - loss: 1.1900e-04 - mean_absolute_error: 0.0082 42/126 [=========>....................] - ETA: 0s - loss: 1.0497e-04 - mean_absolute_error: 0.0078 63/126 [==============>...............] - ETA: 0s - loss: 1.0618e-04 - mean_absolute_error: 0.0078 85/126 [===================>..........] - ETA: 0s - loss: 1.0213e-04 - mean_absolute_error: 0.0077108/126 [========================>.....] - ETA: 0s - loss: 1.0249e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0393e-04 - mean_absolute_error: 0.0077 - val_loss: 1.3090e-04 - val_mean_absolute_error: 0.0090
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 1.5597e-04 - mean_absolute_error: 0.0084 21/126 [====>.........................] - ETA: 0s - loss: 9.4133e-05 - mean_absolute_error: 0.0073 42/126 [=========>....................] - ETA: 0s - loss: 1.0066e-04 - mean_absolute_error: 0.0076 60/126 [=============>................] - ETA: 0s - loss: 9.9810e-05 - mean_absolute_error: 0.0076 78/126 [=================>............] - ETA: 0s - loss: 1.0358e-04 - mean_absolute_error: 0.0078 94/126 [=====================>........] - ETA: 0s - loss: 1.0597e-04 - mean_absolute_error: 0.0078112/126 [=========================>....] - ETA: 0s - loss: 1.0933e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1138e-04 - mean_absolute_error: 0.0081 - val_loss: 1.4157e-04 - val_mean_absolute_error: 0.0096
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 9.6210e-05 - mean_absolute_error: 0.0077 20/126 [===>..........................] - ETA: 0s - loss: 1.0358e-04 - mean_absolute_error: 0.0076 38/126 [========>.....................] - ETA: 0s - loss: 1.1554e-04 - mean_absolute_error: 0.0082 56/126 [============>.................] - ETA: 0s - loss: 1.2939e-04 - mean_absolute_error: 0.0087 74/126 [================>.............] - ETA: 0s - loss: 1.2255e-04 - mean_absolute_error: 0.0084 92/126 [====================>.........] - ETA: 0s - loss: 1.2106e-04 - mean_absolute_error: 0.0085110/126 [=========================>....] - ETA: 0s - loss: 1.1948e-04 - mean_absolute_error: 0.0084124/126 [============================>.] - ETA: 0s - loss: 1.1902e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1895e-04 - mean_absolute_error: 0.0084 - val_loss: 1.6436e-04 - val_mean_absolute_error: 0.0104
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 9.9067e-05 - mean_absolute_error: 0.0083 18/126 [===>..........................] - ETA: 0s - loss: 1.5014e-04 - mean_absolute_error: 0.0099 34/126 [=======>......................] - ETA: 0s - loss: 1.3656e-04 - mean_absolute_error: 0.0092 55/126 [============>.................] - ETA: 0s - loss: 1.2333e-04 - mean_absolute_error: 0.0086 77/126 [=================>............] - ETA: 0s - loss: 1.1805e-04 - mean_absolute_error: 0.0084 99/126 [======================>.......] - ETA: 0s - loss: 1.1596e-04 - mean_absolute_error: 0.0082120/126 [===========================>..] - ETA: 0s - loss: 1.1580e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1576e-04 - mean_absolute_error: 0.0082 - val_loss: 1.0756e-04 - val_mean_absolute_error: 0.0080
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.0708e-04 - mean_absolute_error: 0.0080 20/126 [===>..........................] - ETA: 0s - loss: 1.1476e-04 - mean_absolute_error: 0.0082 40/126 [========>.....................] - ETA: 0s - loss: 1.0980e-04 - mean_absolute_error: 0.0081 61/126 [=============>................] - ETA: 0s - loss: 1.0405e-04 - mean_absolute_error: 0.0078 80/126 [==================>...........] - ETA: 0s - loss: 1.0530e-04 - mean_absolute_error: 0.0079103/126 [=======================>......] - ETA: 0s - loss: 1.0581e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0543e-04 - mean_absolute_error: 0.0078 - val_loss: 1.5386e-04 - val_mean_absolute_error: 0.0099
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 1.2257e-04 - mean_absolute_error: 0.0086 18/126 [===>..........................] - ETA: 0s - loss: 1.2996e-04 - mean_absolute_error: 0.0087 36/126 [=======>......................] - ETA: 0s - loss: 1.2912e-04 - mean_absolute_error: 0.0085 56/126 [============>.................] - ETA: 0s - loss: 1.2633e-04 - mean_absolute_error: 0.0086 73/126 [================>.............] - ETA: 0s - loss: 1.2462e-04 - mean_absolute_error: 0.0085 82/126 [==================>...........] - ETA: 0s - loss: 1.2158e-04 - mean_absolute_error: 0.0085 96/126 [=====================>........] - ETA: 0s - loss: 1.1745e-04 - mean_absolute_error: 0.0083112/126 [=========================>....] - ETA: 0s - loss: 1.1559e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 4ms/step - loss: 1.1252e-04 - mean_absolute_error: 0.0081 - val_loss: 1.1647e-04 - val_mean_absolute_error: 0.0085
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.2100e-04 - mean_absolute_error: 0.0080 20/126 [===>..........................] - ETA: 0s - loss: 9.5516e-05 - mean_absolute_error: 0.0076 40/126 [========>.....................] - ETA: 0s - loss: 1.0579e-04 - mean_absolute_error: 0.0080 61/126 [=============>................] - ETA: 0s - loss: 1.0537e-04 - mean_absolute_error: 0.0079 84/126 [===================>..........] - ETA: 0s - loss: 1.0894e-04 - mean_absolute_error: 0.0080107/126 [========================>.....] - ETA: 0s - loss: 1.0601e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0580e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2046e-04 - val_mean_absolute_error: 0.0086
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 1.3092e-04 - mean_absolute_error: 0.0091 20/126 [===>..........................] - ETA: 0s - loss: 9.6132e-05 - mean_absolute_error: 0.0076 38/126 [========>.....................] - ETA: 0s - loss: 1.0199e-04 - mean_absolute_error: 0.0078 56/126 [============>.................] - ETA: 0s - loss: 1.0440e-04 - mean_absolute_error: 0.0079 75/126 [================>.............] - ETA: 0s - loss: 1.1466e-04 - mean_absolute_error: 0.0082 94/126 [=====================>........] - ETA: 0s - loss: 1.1516e-04 - mean_absolute_error: 0.0082116/126 [==========================>...] - ETA: 0s - loss: 1.1564e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1390e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1020e-04 - val_mean_absolute_error: 0.0081
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 1.0381e-04 - mean_absolute_error: 0.0081 18/126 [===>..........................] - ETA: 0s - loss: 1.1792e-04 - mean_absolute_error: 0.0083 38/126 [========>.....................] - ETA: 0s - loss: 1.3339e-04 - mean_absolute_error: 0.0087 56/126 [============>.................] - ETA: 0s - loss: 1.4363e-04 - mean_absolute_error: 0.0092 75/126 [================>.............] - ETA: 0s - loss: 1.3821e-04 - mean_absolute_error: 0.0091 91/126 [====================>.........] - ETA: 0s - loss: 1.3184e-04 - mean_absolute_error: 0.0089111/126 [=========================>....] - ETA: 0s - loss: 1.2471e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2038e-04 - mean_absolute_error: 0.0084 - val_loss: 1.2732e-04 - val_mean_absolute_error: 0.0090
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 1.9756e-04 - mean_absolute_error: 0.0098 21/126 [====>.........................] - ETA: 0s - loss: 1.1657e-04 - mean_absolute_error: 0.0081 43/126 [=========>....................] - ETA: 0s - loss: 1.1168e-04 - mean_absolute_error: 0.0080 65/126 [==============>...............] - ETA: 0s - loss: 1.1231e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.1250e-04 - mean_absolute_error: 0.0081102/126 [=======================>......] - ETA: 0s - loss: 1.0840e-04 - mean_absolute_error: 0.0079117/126 [==========================>...] - ETA: 0s - loss: 1.1014e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0992e-04 - mean_absolute_error: 0.0080 - val_loss: 1.6129e-04 - val_mean_absolute_error: 0.0103
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 9.1141e-05 - mean_absolute_error: 0.0084 21/126 [====>.........................] - ETA: 0s - loss: 1.0842e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.0328e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0851e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.2642e-04 - mean_absolute_error: 0.0087101/126 [=======================>......] - ETA: 0s - loss: 1.2535e-04 - mean_absolute_error: 0.0086117/126 [==========================>...] - ETA: 0s - loss: 1.2814e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.2687e-04 - mean_absolute_error: 0.0087 - val_loss: 1.8125e-04 - val_mean_absolute_error: 0.0111
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 1.3209e-04 - mean_absolute_error: 0.0085 20/126 [===>..........................] - ETA: 0s - loss: 1.1174e-04 - mean_absolute_error: 0.0081 42/126 [=========>....................] - ETA: 0s - loss: 1.0997e-04 - mean_absolute_error: 0.0081 64/126 [==============>...............] - ETA: 0s - loss: 1.0313e-04 - mean_absolute_error: 0.0078 85/126 [===================>..........] - ETA: 0s - loss: 1.0160e-04 - mean_absolute_error: 0.0077106/126 [========================>.....] - ETA: 0s - loss: 1.0211e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0318e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1519e-04 - val_mean_absolute_error: 0.0085
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 1.2218e-04 - mean_absolute_error: 0.0088 19/126 [===>..........................] - ETA: 0s - loss: 1.1402e-04 - mean_absolute_error: 0.0081 41/126 [========>.....................] - ETA: 0s - loss: 1.2228e-04 - mean_absolute_error: 0.0084 62/126 [=============>................] - ETA: 0s - loss: 1.1960e-04 - mean_absolute_error: 0.0083 84/126 [===================>..........] - ETA: 0s - loss: 1.1339e-04 - mean_absolute_error: 0.0081106/126 [========================>.....] - ETA: 0s - loss: 1.1343e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1146e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0953e-04 - val_mean_absolute_error: 0.0082
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 8.7699e-05 - mean_absolute_error: 0.0068 18/126 [===>..........................] - ETA: 0s - loss: 1.3096e-04 - mean_absolute_error: 0.0088 38/126 [========>.....................] - ETA: 0s - loss: 1.1580e-04 - mean_absolute_error: 0.0082 55/126 [============>.................] - ETA: 0s - loss: 1.1141e-04 - mean_absolute_error: 0.0080 71/126 [===============>..............] - ETA: 0s - loss: 1.2041e-04 - mean_absolute_error: 0.0084 88/126 [===================>..........] - ETA: 0s - loss: 1.2173e-04 - mean_absolute_error: 0.0085106/126 [========================>.....] - ETA: 0s - loss: 1.2159e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1987e-04 - mean_absolute_error: 0.0084 - val_loss: 1.7911e-04 - val_mean_absolute_error: 0.0110
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 1.1195e-04 - mean_absolute_error: 0.0084 16/126 [==>...........................] - ETA: 0s - loss: 1.1492e-04 - mean_absolute_error: 0.0082 32/126 [======>.......................] - ETA: 0s - loss: 1.1001e-04 - mean_absolute_error: 0.0080 53/126 [===========>..................] - ETA: 0s - loss: 1.1440e-04 - mean_absolute_error: 0.0082 74/126 [================>.............] - ETA: 0s - loss: 1.0871e-04 - mean_absolute_error: 0.0080 95/126 [=====================>........] - ETA: 0s - loss: 1.0913e-04 - mean_absolute_error: 0.0080113/126 [=========================>....] - ETA: 0s - loss: 1.0865e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1018e-04 - mean_absolute_error: 0.0081 - val_loss: 1.2759e-04 - val_mean_absolute_error: 0.0090
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 1.4080e-04 - mean_absolute_error: 0.0099 19/126 [===>..........................] - ETA: 0s - loss: 1.0338e-04 - mean_absolute_error: 0.0077 39/126 [========>.....................] - ETA: 0s - loss: 1.0564e-04 - mean_absolute_error: 0.0079 56/126 [============>.................] - ETA: 0s - loss: 1.0618e-04 - mean_absolute_error: 0.0079 73/126 [================>.............] - ETA: 0s - loss: 1.0537e-04 - mean_absolute_error: 0.0079 91/126 [====================>.........] - ETA: 0s - loss: 1.1123e-04 - mean_absolute_error: 0.0081110/126 [=========================>....] - ETA: 0s - loss: 1.1019e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1295e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0705e-04 - val_mean_absolute_error: 0.0081
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 5.8690e-05 - mean_absolute_error: 0.0058 19/126 [===>..........................] - ETA: 0s - loss: 1.1011e-04 - mean_absolute_error: 0.0079 37/126 [=======>......................] - ETA: 0s - loss: 1.0945e-04 - mean_absolute_error: 0.0079 51/126 [===========>..................] - ETA: 0s - loss: 1.0651e-04 - mean_absolute_error: 0.0078 65/126 [==============>...............] - ETA: 0s - loss: 1.1443e-04 - mean_absolute_error: 0.0081 80/126 [==================>...........] - ETA: 0s - loss: 1.0874e-04 - mean_absolute_error: 0.0079 94/126 [=====================>........] - ETA: 0s - loss: 1.0890e-04 - mean_absolute_error: 0.0079114/126 [==========================>...] - ETA: 0s - loss: 1.0553e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0513e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0545e-04 - val_mean_absolute_error: 0.0079
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 1.7381e-04 - mean_absolute_error: 0.0086 19/126 [===>..........................] - ETA: 0s - loss: 1.4192e-04 - mean_absolute_error: 0.0091 37/126 [=======>......................] - ETA: 0s - loss: 1.1729e-04 - mean_absolute_error: 0.0083 55/126 [============>.................] - ETA: 0s - loss: 1.1055e-04 - mean_absolute_error: 0.0080 72/126 [================>.............] - ETA: 0s - loss: 1.0794e-04 - mean_absolute_error: 0.0079 91/126 [====================>.........] - ETA: 0s - loss: 1.0791e-04 - mean_absolute_error: 0.0079111/126 [=========================>....] - ETA: 0s - loss: 1.1025e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0839e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0949e-04 - val_mean_absolute_error: 0.0081
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 1.6217e-04 - mean_absolute_error: 0.0091 21/126 [====>.........................] - ETA: 0s - loss: 1.5105e-04 - mean_absolute_error: 0.0095 40/126 [========>.....................] - ETA: 0s - loss: 1.4507e-04 - mean_absolute_error: 0.0092 60/126 [=============>................] - ETA: 0s - loss: 1.5651e-04 - mean_absolute_error: 0.0098 80/126 [==================>...........] - ETA: 0s - loss: 1.4944e-04 - mean_absolute_error: 0.0095100/126 [======================>.......] - ETA: 0s - loss: 1.4294e-04 - mean_absolute_error: 0.0093117/126 [==========================>...] - ETA: 0s - loss: 1.3628e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.3374e-04 - mean_absolute_error: 0.0090 - val_loss: 1.1246e-04 - val_mean_absolute_error: 0.0083
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 8.9759e-05 - mean_absolute_error: 0.0076 17/126 [===>..........................] - ETA: 0s - loss: 1.6690e-04 - mean_absolute_error: 0.0103 35/126 [=======>......................] - ETA: 0s - loss: 1.4217e-04 - mean_absolute_error: 0.0092 55/126 [============>.................] - ETA: 0s - loss: 1.3894e-04 - mean_absolute_error: 0.0091 75/126 [================>.............] - ETA: 0s - loss: 1.3786e-04 - mean_absolute_error: 0.0090 95/126 [=====================>........] - ETA: 0s - loss: 1.3361e-04 - mean_absolute_error: 0.0089116/126 [==========================>...] - ETA: 0s - loss: 1.2834e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2562e-04 - mean_absolute_error: 0.0086 - val_loss: 1.0958e-04 - val_mean_absolute_error: 0.0081
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 8.7612e-05 - mean_absolute_error: 0.0070 20/126 [===>..........................] - ETA: 0s - loss: 9.9468e-05 - mean_absolute_error: 0.0075 42/126 [=========>....................] - ETA: 0s - loss: 9.5074e-05 - mean_absolute_error: 0.0074 63/126 [==============>...............] - ETA: 0s - loss: 1.1325e-04 - mean_absolute_error: 0.0080 85/126 [===================>..........] - ETA: 0s - loss: 1.2328e-04 - mean_absolute_error: 0.0085103/126 [=======================>......] - ETA: 0s - loss: 1.2550e-04 - mean_absolute_error: 0.0086121/126 [===========================>..] - ETA: 0s - loss: 1.2421e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2343e-04 - mean_absolute_error: 0.0085 - val_loss: 1.1470e-04 - val_mean_absolute_error: 0.0084
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 1.0520e-04 - mean_absolute_error: 0.0084 22/126 [====>.........................] - ETA: 0s - loss: 1.1712e-04 - mean_absolute_error: 0.0083 42/126 [=========>....................] - ETA: 0s - loss: 1.2324e-04 - mean_absolute_error: 0.0086 64/126 [==============>...............] - ETA: 0s - loss: 1.1686e-04 - mean_absolute_error: 0.0083 86/126 [===================>..........] - ETA: 0s - loss: 1.1768e-04 - mean_absolute_error: 0.0084106/126 [========================>.....] - ETA: 0s - loss: 1.1427e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1309e-04 - mean_absolute_error: 0.0082 - val_loss: 1.9869e-04 - val_mean_absolute_error: 0.0114
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.2621e-04 - mean_absolute_error: 0.0085 17/126 [===>..........................] - ETA: 0s - loss: 2.1337e-04 - mean_absolute_error: 0.0116 34/126 [=======>......................] - ETA: 0s - loss: 1.7309e-04 - mean_absolute_error: 0.0103 58/126 [============>.................] - ETA: 0s - loss: 1.4083e-04 - mean_absolute_error: 0.0091 80/126 [==================>...........] - ETA: 0s - loss: 1.3439e-04 - mean_absolute_error: 0.0089102/126 [=======================>......] - ETA: 0s - loss: 1.2589e-04 - mean_absolute_error: 0.0086126/126 [==============================] - ETA: 0s - loss: 1.3199e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.3199e-04 - mean_absolute_error: 0.0088 - val_loss: 1.0628e-04 - val_mean_absolute_error: 0.0081
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 1.0161e-04 - mean_absolute_error: 0.0083 21/126 [====>.........................] - ETA: 0s - loss: 8.6554e-05 - mean_absolute_error: 0.0072 43/126 [=========>....................] - ETA: 0s - loss: 9.6122e-05 - mean_absolute_error: 0.0075 62/126 [=============>................] - ETA: 0s - loss: 9.6105e-05 - mean_absolute_error: 0.0076 81/126 [==================>...........] - ETA: 0s - loss: 9.6572e-05 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 1.0353e-04 - mean_absolute_error: 0.0079121/126 [===========================>..] - ETA: 0s - loss: 1.1936e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1987e-04 - mean_absolute_error: 0.0084 - val_loss: 1.6926e-04 - val_mean_absolute_error: 0.0104
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 1.2063e-04 - mean_absolute_error: 0.0091 19/126 [===>..........................] - ETA: 0s - loss: 1.0868e-04 - mean_absolute_error: 0.0080 38/126 [========>.....................] - ETA: 0s - loss: 1.0674e-04 - mean_absolute_error: 0.0079 58/126 [============>.................] - ETA: 0s - loss: 1.0304e-04 - mean_absolute_error: 0.0078 77/126 [=================>............] - ETA: 0s - loss: 1.0348e-04 - mean_absolute_error: 0.0077 94/126 [=====================>........] - ETA: 0s - loss: 1.0355e-04 - mean_absolute_error: 0.0077112/126 [=========================>....] - ETA: 0s - loss: 1.0513e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0425e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0505e-04 - val_mean_absolute_error: 0.0079
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 8.8843e-05 - mean_absolute_error: 0.0071 16/126 [==>...........................] - ETA: 0s - loss: 1.1171e-04 - mean_absolute_error: 0.0082 33/126 [======>.......................] - ETA: 0s - loss: 1.1747e-04 - mean_absolute_error: 0.0085 49/126 [==========>...................] - ETA: 0s - loss: 1.1150e-04 - mean_absolute_error: 0.0081 65/126 [==============>...............] - ETA: 0s - loss: 1.1163e-04 - mean_absolute_error: 0.0081 83/126 [==================>...........] - ETA: 0s - loss: 1.1489e-04 - mean_absolute_error: 0.0082104/126 [=======================>......] - ETA: 0s - loss: 1.1216e-04 - mean_absolute_error: 0.0080125/126 [============================>.] - ETA: 0s - loss: 1.1749e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1731e-04 - mean_absolute_error: 0.0083 - val_loss: 1.0535e-04 - val_mean_absolute_error: 0.0079
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 8.6962e-05 - mean_absolute_error: 0.0067 21/126 [====>.........................] - ETA: 0s - loss: 9.8910e-05 - mean_absolute_error: 0.0076 44/126 [=========>....................] - ETA: 0s - loss: 1.0374e-04 - mean_absolute_error: 0.0078 66/126 [==============>...............] - ETA: 0s - loss: 1.0184e-04 - mean_absolute_error: 0.0077 85/126 [===================>..........] - ETA: 0s - loss: 1.2429e-04 - mean_absolute_error: 0.0085 96/126 [=====================>........] - ETA: 0s - loss: 1.2020e-04 - mean_absolute_error: 0.0083113/126 [=========================>....] - ETA: 0s - loss: 1.1694e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1833e-04 - mean_absolute_error: 0.0083 - val_loss: 1.6599e-04 - val_mean_absolute_error: 0.0103
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 1.0418e-04 - mean_absolute_error: 0.0084 16/126 [==>...........................] - ETA: 0s - loss: 1.5901e-04 - mean_absolute_error: 0.0103 33/126 [======>.......................] - ETA: 0s - loss: 1.4821e-04 - mean_absolute_error: 0.0096 51/126 [===========>..................] - ETA: 0s - loss: 1.3148e-04 - mean_absolute_error: 0.0089 72/126 [================>.............] - ETA: 0s - loss: 1.2949e-04 - mean_absolute_error: 0.0088 94/126 [=====================>........] - ETA: 0s - loss: 1.2052e-04 - mean_absolute_error: 0.0085113/126 [=========================>....] - ETA: 0s - loss: 1.2162e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.1957e-04 - mean_absolute_error: 0.0084 - val_loss: 1.0831e-04 - val_mean_absolute_error: 0.0081
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 9.7461e-05 - mean_absolute_error: 0.0074 21/126 [====>.........................] - ETA: 0s - loss: 8.7070e-05 - mean_absolute_error: 0.0070 41/126 [========>.....................] - ETA: 0s - loss: 8.9039e-05 - mean_absolute_error: 0.0071 64/126 [==============>...............] - ETA: 0s - loss: 9.1226e-05 - mean_absolute_error: 0.0072 85/126 [===================>..........] - ETA: 0s - loss: 1.0036e-04 - mean_absolute_error: 0.0076105/126 [========================>.....] - ETA: 0s - loss: 9.8656e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 1.0730e-04 - mean_absolute_error: 0.0078 - val_loss: 1.5107e-04 - val_mean_absolute_error: 0.0099
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.6005e-04 - mean_absolute_error: 0.0102 23/126 [====>.........................] - ETA: 0s - loss: 1.4336e-04 - mean_absolute_error: 0.0093 41/126 [========>.....................] - ETA: 0s - loss: 1.2483e-04 - mean_absolute_error: 0.0086 62/126 [=============>................] - ETA: 0s - loss: 1.1388e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.0905e-04 - mean_absolute_error: 0.0080110/126 [=========================>....] - ETA: 0s - loss: 1.0851e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0724e-04 - mean_absolute_error: 0.0079 - val_loss: 1.5775e-04 - val_mean_absolute_error: 0.0100
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.0713e-04 - mean_absolute_error: 0.0087 19/126 [===>..........................] - ETA: 0s - loss: 1.1815e-04 - mean_absolute_error: 0.0087 43/126 [=========>....................] - ETA: 0s - loss: 1.5202e-04 - mean_absolute_error: 0.0098 68/126 [===============>..............] - ETA: 0s - loss: 1.4214e-04 - mean_absolute_error: 0.0093 93/126 [=====================>........] - ETA: 0s - loss: 1.3739e-04 - mean_absolute_error: 0.0091117/126 [==========================>...] - ETA: 0s - loss: 1.2911e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.2681e-04 - mean_absolute_error: 0.0088 - val_loss: 1.1638e-04 - val_mean_absolute_error: 0.0084
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 5.4742e-05 - mean_absolute_error: 0.0059 22/126 [====>.........................] - ETA: 0s - loss: 1.0513e-04 - mean_absolute_error: 0.0078 47/126 [==========>...................] - ETA: 0s - loss: 1.0482e-04 - mean_absolute_error: 0.0078 72/126 [================>.............] - ETA: 0s - loss: 1.0466e-04 - mean_absolute_error: 0.0078 96/126 [=====================>........] - ETA: 0s - loss: 1.1149e-04 - mean_absolute_error: 0.0080119/126 [===========================>..] - ETA: 0s - loss: 1.1017e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.0919e-04 - mean_absolute_error: 0.0080 - val_loss: 2.3586e-04 - val_mean_absolute_error: 0.0127
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 1.2346e-04 - mean_absolute_error: 0.0093 23/126 [====>.........................] - ETA: 0s - loss: 1.3512e-04 - mean_absolute_error: 0.0090 48/126 [==========>...................] - ETA: 0s - loss: 1.3335e-04 - mean_absolute_error: 0.0089 64/126 [==============>...............] - ETA: 0s - loss: 1.2539e-04 - mean_absolute_error: 0.0086 81/126 [==================>...........] - ETA: 0s - loss: 1.2446e-04 - mean_absolute_error: 0.0086 97/126 [======================>.......] - ETA: 0s - loss: 1.2058e-04 - mean_absolute_error: 0.0084116/126 [==========================>...] - ETA: 0s - loss: 1.2313e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.2098e-04 - mean_absolute_error: 0.0085 - val_loss: 1.0578e-04 - val_mean_absolute_error: 0.0081
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 7.4359e-05 - mean_absolute_error: 0.0064 23/126 [====>.........................] - ETA: 0s - loss: 1.0851e-04 - mean_absolute_error: 0.0079 46/126 [=========>....................] - ETA: 0s - loss: 1.2608e-04 - mean_absolute_error: 0.0087 71/126 [===============>..............] - ETA: 0s - loss: 1.2121e-04 - mean_absolute_error: 0.0086 95/126 [=====================>........] - ETA: 0s - loss: 1.1964e-04 - mean_absolute_error: 0.0085119/126 [===========================>..] - ETA: 0s - loss: 1.1628e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1569e-04 - mean_absolute_error: 0.0083 - val_loss: 1.0192e-04 - val_mean_absolute_error: 0.0077
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.6789e-04 - mean_absolute_error: 0.0100 24/126 [====>.........................] - ETA: 0s - loss: 1.2316e-04 - mean_absolute_error: 0.0084 49/126 [==========>...................] - ETA: 0s - loss: 1.2536e-04 - mean_absolute_error: 0.0086 75/126 [================>.............] - ETA: 0s - loss: 1.1465e-04 - mean_absolute_error: 0.0082100/126 [======================>.......] - ETA: 0s - loss: 1.0813e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0637e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 2ms/step - loss: 1.0720e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0304e-04 - val_mean_absolute_error: 0.0078
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 5.9146e-05 - mean_absolute_error: 0.0057 25/126 [====>.........................] - ETA: 0s - loss: 1.0690e-04 - mean_absolute_error: 0.0079 49/126 [==========>...................] - ETA: 0s - loss: 1.1068e-04 - mean_absolute_error: 0.0079 73/126 [================>.............] - ETA: 0s - loss: 1.0701e-04 - mean_absolute_error: 0.0078 98/126 [======================>.......] - ETA: 0s - loss: 1.0415e-04 - mean_absolute_error: 0.0077123/126 [============================>.] - ETA: 0s - loss: 1.0362e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0444e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0479e-04 - val_mean_absolute_error: 0.0080
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 1.3967e-04 - mean_absolute_error: 0.0095 17/126 [===>..........................] - ETA: 0s - loss: 8.5048e-05 - mean_absolute_error: 0.0071 38/126 [========>.....................] - ETA: 0s - loss: 1.0554e-04 - mean_absolute_error: 0.0078 58/126 [============>.................] - ETA: 0s - loss: 1.1752e-04 - mean_absolute_error: 0.0083 75/126 [================>.............] - ETA: 0s - loss: 1.1533e-04 - mean_absolute_error: 0.0082 90/126 [====================>.........] - ETA: 0s - loss: 1.1224e-04 - mean_absolute_error: 0.0081101/126 [=======================>......] - ETA: 0s - loss: 1.1283e-04 - mean_absolute_error: 0.0081118/126 [===========================>..] - ETA: 0s - loss: 1.1398e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1586e-04 - mean_absolute_error: 0.0083 - val_loss: 1.0120e-04 - val_mean_absolute_error: 0.0077
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 5.8154e-05 - mean_absolute_error: 0.0061 20/126 [===>..........................] - ETA: 0s - loss: 9.2828e-05 - mean_absolute_error: 0.0075 38/126 [========>.....................] - ETA: 0s - loss: 1.0458e-04 - mean_absolute_error: 0.0077 57/126 [============>.................] - ETA: 0s - loss: 1.0677e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.1086e-04 - mean_absolute_error: 0.0081 90/126 [====================>.........] - ETA: 0s - loss: 1.1082e-04 - mean_absolute_error: 0.0081110/126 [=========================>....] - ETA: 0s - loss: 1.0699e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1184e-04 - mean_absolute_error: 0.0082 - val_loss: 1.3586e-04 - val_mean_absolute_error: 0.0092
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 1.2327e-04 - mean_absolute_error: 0.0092 18/126 [===>..........................] - ETA: 0s - loss: 9.2567e-05 - mean_absolute_error: 0.0076 36/126 [=======>......................] - ETA: 0s - loss: 9.3328e-05 - mean_absolute_error: 0.0076 57/126 [============>.................] - ETA: 0s - loss: 9.4104e-05 - mean_absolute_error: 0.0075 77/126 [=================>............] - ETA: 0s - loss: 1.0770e-04 - mean_absolute_error: 0.0080 98/126 [======================>.......] - ETA: 0s - loss: 1.0485e-04 - mean_absolute_error: 0.0079119/126 [===========================>..] - ETA: 0s - loss: 1.0437e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0548e-04 - mean_absolute_error: 0.0079 - val_loss: 1.8963e-04 - val_mean_absolute_error: 0.0114
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.6418e-04 - mean_absolute_error: 0.0096 20/126 [===>..........................] - ETA: 0s - loss: 1.5159e-04 - mean_absolute_error: 0.0096 41/126 [========>.....................] - ETA: 0s - loss: 1.4513e-04 - mean_absolute_error: 0.0094 61/126 [=============>................] - ETA: 0s - loss: 1.2697e-04 - mean_absolute_error: 0.0087 80/126 [==================>...........] - ETA: 0s - loss: 1.2183e-04 - mean_absolute_error: 0.0085101/126 [=======================>......] - ETA: 0s - loss: 1.1555e-04 - mean_absolute_error: 0.0082120/126 [===========================>..] - ETA: 0s - loss: 1.1340e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1351e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0084e-04 - val_mean_absolute_error: 0.0077
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 4.3422e-05 - mean_absolute_error: 0.0053 19/126 [===>..........................] - ETA: 0s - loss: 9.2772e-05 - mean_absolute_error: 0.0073 38/126 [========>.....................] - ETA: 0s - loss: 9.9470e-05 - mean_absolute_error: 0.0075 58/126 [============>.................] - ETA: 0s - loss: 1.1145e-04 - mean_absolute_error: 0.0079 80/126 [==================>...........] - ETA: 0s - loss: 1.2168e-04 - mean_absolute_error: 0.0085102/126 [=======================>......] - ETA: 0s - loss: 1.1365e-04 - mean_absolute_error: 0.0081123/126 [============================>.] - ETA: 0s - loss: 1.1554e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1653e-04 - mean_absolute_error: 0.0083 - val_loss: 4.1716e-04 - val_mean_absolute_error: 0.0183
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 3.2297e-04 - mean_absolute_error: 0.0156 12/126 [=>............................] - ETA: 0s - loss: 1.8673e-04 - mean_absolute_error: 0.0111 25/126 [====>.........................] - ETA: 0s - loss: 1.4732e-04 - mean_absolute_error: 0.0093 43/126 [=========>....................] - ETA: 0s - loss: 1.4421e-04 - mean_absolute_error: 0.0092 64/126 [==============>...............] - ETA: 0s - loss: 1.2902e-04 - mean_absolute_error: 0.0087 84/126 [===================>..........] - ETA: 0s - loss: 1.2206e-04 - mean_absolute_error: 0.0085101/126 [=======================>......] - ETA: 0s - loss: 1.1942e-04 - mean_absolute_error: 0.0084124/126 [============================>.] - ETA: 0s - loss: 1.1603e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1581e-04 - mean_absolute_error: 0.0083 - val_loss: 1.4674e-04 - val_mean_absolute_error: 0.0098
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 8.2353e-05 - mean_absolute_error: 0.0071 23/126 [====>.........................] - ETA: 0s - loss: 1.0402e-04 - mean_absolute_error: 0.0080 47/126 [==========>...................] - ETA: 0s - loss: 9.8457e-05 - mean_absolute_error: 0.0077 72/126 [================>.............] - ETA: 0s - loss: 1.1406e-04 - mean_absolute_error: 0.0082 97/126 [======================>.......] - ETA: 0s - loss: 1.1698e-04 - mean_absolute_error: 0.0084122/126 [============================>.] - ETA: 0s - loss: 1.2017e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 2ms/step - loss: 1.1898e-04 - mean_absolute_error: 0.0084 - val_loss: 1.6243e-04 - val_mean_absolute_error: 0.0102
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 1.0983e-04 - mean_absolute_error: 0.0086 25/126 [====>.........................] - ETA: 0s - loss: 1.2205e-04 - mean_absolute_error: 0.0085 50/126 [==========>...................] - ETA: 0s - loss: 1.1515e-04 - mean_absolute_error: 0.0083 76/126 [=================>............] - ETA: 0s - loss: 1.1910e-04 - mean_absolute_error: 0.0084100/126 [======================>.......] - ETA: 0s - loss: 1.2288e-04 - mean_absolute_error: 0.0086123/126 [============================>.] - ETA: 0s - loss: 1.2553e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 2ms/step - loss: 1.2660e-04 - mean_absolute_error: 0.0087 - val_loss: 2.6400e-04 - val_mean_absolute_error: 0.0139
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.9411e-04 - mean_absolute_error: 0.0114 22/126 [====>.........................] - ETA: 0s - loss: 1.4546e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.2263e-04 - mean_absolute_error: 0.0086 66/126 [==============>...............] - ETA: 0s - loss: 1.1205e-04 - mean_absolute_error: 0.0081 80/126 [==================>...........] - ETA: 0s - loss: 1.0899e-04 - mean_absolute_error: 0.0080104/126 [=======================>......] - ETA: 0s - loss: 1.1112e-04 - mean_absolute_error: 0.0080120/126 [===========================>..] - ETA: 0s - loss: 1.0690e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0774e-04 - mean_absolute_error: 0.0079 - val_loss: 1.4539e-04 - val_mean_absolute_error: 0.0096
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 1.0028e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.0579e-04 - mean_absolute_error: 0.0081 48/126 [==========>...................] - ETA: 0s - loss: 9.6151e-05 - mean_absolute_error: 0.0076 74/126 [================>.............] - ETA: 0s - loss: 1.0577e-04 - mean_absolute_error: 0.0078 99/126 [======================>.......] - ETA: 0s - loss: 1.1534e-04 - mean_absolute_error: 0.0082123/126 [============================>.] - ETA: 0s - loss: 1.1201e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 2ms/step - loss: 1.1255e-04 - mean_absolute_error: 0.0081 - val_loss: 2.0565e-04 - val_mean_absolute_error: 0.0117
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 2.2944e-04 - mean_absolute_error: 0.0126 26/126 [=====>........................] - ETA: 0s - loss: 1.4516e-04 - mean_absolute_error: 0.0095 52/126 [===========>..................] - ETA: 0s - loss: 1.3724e-04 - mean_absolute_error: 0.0092 78/126 [=================>............] - ETA: 0s - loss: 1.2061e-04 - mean_absolute_error: 0.0085103/126 [=======================>......] - ETA: 0s - loss: 1.1428e-04 - mean_absolute_error: 0.0082123/126 [============================>.] - ETA: 0s - loss: 1.1361e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.1311e-04 - mean_absolute_error: 0.0081 - val_loss: 9.8860e-05 - val_mean_absolute_error: 0.0077
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 1.1330e-04 - mean_absolute_error: 0.0078 15/126 [==>...........................] - ETA: 0s - loss: 1.3328e-04 - mean_absolute_error: 0.0088 31/126 [======>.......................] - ETA: 0s - loss: 1.1137e-04 - mean_absolute_error: 0.0081 47/126 [==========>...................] - ETA: 0s - loss: 1.0029e-04 - mean_absolute_error: 0.0077 66/126 [==============>...............] - ETA: 0s - loss: 9.4635e-05 - mean_absolute_error: 0.0075 82/126 [==================>...........] - ETA: 0s - loss: 9.2713e-05 - mean_absolute_error: 0.0074 99/126 [======================>.......] - ETA: 0s - loss: 9.9245e-05 - mean_absolute_error: 0.0076117/126 [==========================>...] - ETA: 0s - loss: 1.1135e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.1531e-04 - mean_absolute_error: 0.0082 - val_loss: 3.1071e-04 - val_mean_absolute_error: 0.0154
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 2.6082e-04 - mean_absolute_error: 0.0141 17/126 [===>..........................] - ETA: 0s - loss: 1.0381e-04 - mean_absolute_error: 0.0078 34/126 [=======>......................] - ETA: 0s - loss: 1.0755e-04 - mean_absolute_error: 0.0079 48/126 [==========>...................] - ETA: 0s - loss: 1.0629e-04 - mean_absolute_error: 0.0078 55/126 [============>.................] - ETA: 0s - loss: 1.0647e-04 - mean_absolute_error: 0.0078 64/126 [==============>...............] - ETA: 0s - loss: 1.0869e-04 - mean_absolute_error: 0.0079 75/126 [================>.............] - ETA: 0s - loss: 1.0809e-04 - mean_absolute_error: 0.0079 88/126 [===================>..........] - ETA: 0s - loss: 1.0961e-04 - mean_absolute_error: 0.0080 98/126 [======================>.......] - ETA: 0s - loss: 1.0825e-04 - mean_absolute_error: 0.0079109/126 [========================>.....] - ETA: 0s - loss: 1.0597e-04 - mean_absolute_error: 0.0078120/126 [===========================>..] - ETA: 0s - loss: 1.0482e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 1s 5ms/step - loss: 1.0430e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0457e-04 - val_mean_absolute_error: 0.0080
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 9.5016e-05 - mean_absolute_error: 0.0071 14/126 [==>...........................] - ETA: 0s - loss: 1.1612e-04 - mean_absolute_error: 0.0085 27/126 [=====>........................] - ETA: 0s - loss: 1.0539e-04 - mean_absolute_error: 0.0081 39/126 [========>.....................] - ETA: 0s - loss: 1.1056e-04 - mean_absolute_error: 0.0082 52/126 [===========>..................] - ETA: 0s - loss: 1.1889e-04 - mean_absolute_error: 0.0086 66/126 [==============>...............] - ETA: 0s - loss: 1.1716e-04 - mean_absolute_error: 0.0085 82/126 [==================>...........] - ETA: 0s - loss: 1.1135e-04 - mean_absolute_error: 0.0083 99/126 [======================>.......] - ETA: 0s - loss: 1.0922e-04 - mean_absolute_error: 0.0081113/126 [=========================>....] - ETA: 0s - loss: 1.1147e-04 - mean_absolute_error: 0.0082125/126 [============================>.] - ETA: 0s - loss: 1.1706e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 1s 4ms/step - loss: 1.1717e-04 - mean_absolute_error: 0.0084 - val_loss: 2.9435e-04 - val_mean_absolute_error: 0.0149
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 2.5497e-04 - mean_absolute_error: 0.0130 17/126 [===>..........................] - ETA: 0s - loss: 1.0799e-04 - mean_absolute_error: 0.0079 32/126 [======>.......................] - ETA: 0s - loss: 1.1490e-04 - mean_absolute_error: 0.0081 45/126 [=========>....................] - ETA: 0s - loss: 1.0943e-04 - mean_absolute_error: 0.0080 59/126 [=============>................] - ETA: 0s - loss: 1.0335e-04 - mean_absolute_error: 0.0077 71/126 [===============>..............] - ETA: 0s - loss: 1.0073e-04 - mean_absolute_error: 0.0076 84/126 [===================>..........] - ETA: 0s - loss: 1.0036e-04 - mean_absolute_error: 0.0076 96/126 [=====================>........] - ETA: 0s - loss: 1.0553e-04 - mean_absolute_error: 0.0078110/126 [=========================>....] - ETA: 0s - loss: 1.0594e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 1s 4ms/step - loss: 1.0602e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0913e-04 - val_mean_absolute_error: 0.0082
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 7.9962e-05 - mean_absolute_error: 0.0077 17/126 [===>..........................] - ETA: 0s - loss: 9.5132e-05 - mean_absolute_error: 0.0075 29/126 [=====>........................] - ETA: 0s - loss: 8.5610e-05 - mean_absolute_error: 0.0072 40/126 [========>.....................] - ETA: 0s - loss: 9.2175e-05 - mean_absolute_error: 0.0074 53/126 [===========>..................] - ETA: 0s - loss: 9.9299e-05 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 1.1059e-04 - mean_absolute_error: 0.0080 98/126 [======================>.......] - ETA: 0s - loss: 1.1394e-04 - mean_absolute_error: 0.0082121/126 [===========================>..] - ETA: 0s - loss: 1.1903e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.1966e-04 - mean_absolute_error: 0.0084 - val_loss: 1.1251e-04 - val_mean_absolute_error: 0.0084
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 9.1993e-05 - mean_absolute_error: 0.0071 17/126 [===>..........................] - ETA: 0s - loss: 1.1425e-04 - mean_absolute_error: 0.0080 34/126 [=======>......................] - ETA: 0s - loss: 1.0226e-04 - mean_absolute_error: 0.0076 51/126 [===========>..................] - ETA: 0s - loss: 1.0383e-04 - mean_absolute_error: 0.0078 67/126 [==============>...............] - ETA: 0s - loss: 1.0966e-04 - mean_absolute_error: 0.0081 90/126 [====================>.........] - ETA: 0s - loss: 1.1007e-04 - mean_absolute_error: 0.0082111/126 [=========================>....] - ETA: 0s - loss: 1.1538e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1302e-04 - mean_absolute_error: 0.0082 - val_loss: 1.3315e-04 - val_mean_absolute_error: 0.0091
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 9.0202e-05 - mean_absolute_error: 0.0079 15/126 [==>...........................] - ETA: 0s - loss: 1.2066e-04 - mean_absolute_error: 0.0087 29/126 [=====>........................] - ETA: 0s - loss: 1.4062e-04 - mean_absolute_error: 0.0093 43/126 [=========>....................] - ETA: 0s - loss: 1.2773e-04 - mean_absolute_error: 0.0088 57/126 [============>.................] - ETA: 0s - loss: 1.1942e-04 - mean_absolute_error: 0.0084 70/126 [===============>..............] - ETA: 0s - loss: 1.1763e-04 - mean_absolute_error: 0.0082 84/126 [===================>..........] - ETA: 0s - loss: 1.1416e-04 - mean_absolute_error: 0.0081 98/126 [======================>.......] - ETA: 0s - loss: 1.1268e-04 - mean_absolute_error: 0.0081111/126 [=========================>....] - ETA: 0s - loss: 1.1017e-04 - mean_absolute_error: 0.0080126/126 [==============================] - ETA: 0s - loss: 1.1130e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 1s 4ms/step - loss: 1.1130e-04 - mean_absolute_error: 0.0080 - val_loss: 2.4213e-04 - val_mean_absolute_error: 0.0133
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 2.7420e-04 - mean_absolute_error: 0.0137 18/126 [===>..........................] - ETA: 0s - loss: 1.3826e-04 - mean_absolute_error: 0.0094 33/126 [======>.......................] - ETA: 0s - loss: 1.2527e-04 - mean_absolute_error: 0.0088 52/126 [===========>..................] - ETA: 0s - loss: 1.1137e-04 - mean_absolute_error: 0.0082 69/126 [===============>..............] - ETA: 0s - loss: 1.0889e-04 - mean_absolute_error: 0.0081 82/126 [==================>...........] - ETA: 0s - loss: 1.1096e-04 - mean_absolute_error: 0.0081 96/126 [=====================>........] - ETA: 0s - loss: 1.0751e-04 - mean_absolute_error: 0.0080109/126 [========================>.....] - ETA: 0s - loss: 1.0654e-04 - mean_absolute_error: 0.0079122/126 [============================>.] - ETA: 0s - loss: 1.0475e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 4ms/step - loss: 1.0383e-04 - mean_absolute_error: 0.0078 - val_loss: 1.3152e-04 - val_mean_absolute_error: 0.0092
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 1.5986e-04 - mean_absolute_error: 0.0099 12/126 [=>............................] - ETA: 0s - loss: 1.2130e-04 - mean_absolute_error: 0.0084 20/126 [===>..........................] - ETA: 0s - loss: 1.4027e-04 - mean_absolute_error: 0.0090 32/126 [======>.......................] - ETA: 0s - loss: 1.2728e-04 - mean_absolute_error: 0.0087 47/126 [==========>...................] - ETA: 0s - loss: 1.1439e-04 - mean_absolute_error: 0.0081 59/126 [=============>................] - ETA: 0s - loss: 1.0665e-04 - mean_absolute_error: 0.0079 70/126 [===============>..............] - ETA: 0s - loss: 1.0992e-04 - mean_absolute_error: 0.0079 83/126 [==================>...........] - ETA: 0s - loss: 1.0696e-04 - mean_absolute_error: 0.0078 96/126 [=====================>........] - ETA: 0s - loss: 1.1379e-04 - mean_absolute_error: 0.0081110/126 [=========================>....] - ETA: 0s - loss: 1.1527e-04 - mean_absolute_error: 0.0082121/126 [===========================>..] - ETA: 0s - loss: 1.1301e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 1s 5ms/step - loss: 1.1256e-04 - mean_absolute_error: 0.0081 - val_loss: 9.7725e-05 - val_mean_absolute_error: 0.0076
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 8.5088e-05 - mean_absolute_error: 0.0069 15/126 [==>...........................] - ETA: 0s - loss: 8.7958e-05 - mean_absolute_error: 0.0074 31/126 [======>.......................] - ETA: 0s - loss: 9.0795e-05 - mean_absolute_error: 0.0073 46/126 [=========>....................] - ETA: 0s - loss: 9.3609e-05 - mean_absolute_error: 0.0073 59/126 [=============>................] - ETA: 0s - loss: 9.1187e-05 - mean_absolute_error: 0.0072 73/126 [================>.............] - ETA: 0s - loss: 9.1109e-05 - mean_absolute_error: 0.0072 88/126 [===================>..........] - ETA: 0s - loss: 9.6249e-05 - mean_absolute_error: 0.0075102/126 [=======================>......] - ETA: 0s - loss: 9.7176e-05 - mean_absolute_error: 0.0075117/126 [==========================>...] - ETA: 0s - loss: 9.9356e-05 - mean_absolute_error: 0.0076126/126 [==============================] - 1s 4ms/step - loss: 9.7573e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0841e-04 - val_mean_absolute_error: 0.0081
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 9.5990e-05 - mean_absolute_error: 0.0073 18/126 [===>..........................] - ETA: 0s - loss: 1.0859e-04 - mean_absolute_error: 0.0080 41/126 [========>.....................] - ETA: 0s - loss: 1.1451e-04 - mean_absolute_error: 0.0082 64/126 [==============>...............] - ETA: 0s - loss: 1.2140e-04 - mean_absolute_error: 0.0086 86/126 [===================>..........] - ETA: 0s - loss: 1.1318e-04 - mean_absolute_error: 0.0082110/126 [=========================>....] - ETA: 0s - loss: 1.0581e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0647e-04 - mean_absolute_error: 0.0079 - val_loss: 1.3673e-04 - val_mean_absolute_error: 0.0094
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.2382e-04 - mean_absolute_error: 0.0090 16/126 [==>...........................] - ETA: 0s - loss: 1.0736e-04 - mean_absolute_error: 0.0080 33/126 [======>.......................] - ETA: 0s - loss: 1.1022e-04 - mean_absolute_error: 0.0082 49/126 [==========>...................] - ETA: 0s - loss: 1.0688e-04 - mean_absolute_error: 0.0081 70/126 [===============>..............] - ETA: 0s - loss: 1.0080e-04 - mean_absolute_error: 0.0076 92/126 [====================>.........] - ETA: 0s - loss: 9.8480e-05 - mean_absolute_error: 0.0075114/126 [==========================>...] - ETA: 0s - loss: 1.0350e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0463e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2336e-04 - val_mean_absolute_error: 0.0088
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 7.5499e-05 - mean_absolute_error: 0.0068 23/126 [====>.........................] - ETA: 0s - loss: 8.8573e-05 - mean_absolute_error: 0.0073 46/126 [=========>....................] - ETA: 0s - loss: 9.9724e-05 - mean_absolute_error: 0.0077 68/126 [===============>..............] - ETA: 0s - loss: 1.0064e-04 - mean_absolute_error: 0.0077 85/126 [===================>..........] - ETA: 0s - loss: 9.9675e-05 - mean_absolute_error: 0.0077103/126 [=======================>......] - ETA: 0s - loss: 1.0132e-04 - mean_absolute_error: 0.0077123/126 [============================>.] - ETA: 0s - loss: 1.0375e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 3ms/step - loss: 1.0416e-04 - mean_absolute_error: 0.0078 - val_loss: 1.8753e-04 - val_mean_absolute_error: 0.0114
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 2.1257e-04 - mean_absolute_error: 0.0112 23/126 [====>.........................] - ETA: 0s - loss: 1.0818e-04 - mean_absolute_error: 0.0078 47/126 [==========>...................] - ETA: 0s - loss: 1.1038e-04 - mean_absolute_error: 0.0080 70/126 [===============>..............] - ETA: 0s - loss: 1.0890e-04 - mean_absolute_error: 0.0080 93/126 [=====================>........] - ETA: 0s - loss: 1.1129e-04 - mean_absolute_error: 0.0081116/126 [==========================>...] - ETA: 0s - loss: 1.0863e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0845e-04 - mean_absolute_error: 0.0080 - val_loss: 9.8204e-05 - val_mean_absolute_error: 0.0078
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 5.2241e-05 - mean_absolute_error: 0.0054 23/126 [====>.........................] - ETA: 0s - loss: 9.1088e-05 - mean_absolute_error: 0.0072 47/126 [==========>...................] - ETA: 0s - loss: 1.0081e-04 - mean_absolute_error: 0.0075 71/126 [===============>..............] - ETA: 0s - loss: 1.0458e-04 - mean_absolute_error: 0.0077 96/126 [=====================>........] - ETA: 0s - loss: 1.0390e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0183e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0162e-04 - mean_absolute_error: 0.0077 - val_loss: 1.2020e-04 - val_mean_absolute_error: 0.0087
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.0383e-04 - mean_absolute_error: 0.0079 23/126 [====>.........................] - ETA: 0s - loss: 8.7726e-05 - mean_absolute_error: 0.0073 47/126 [==========>...................] - ETA: 0s - loss: 1.0418e-04 - mean_absolute_error: 0.0080 71/126 [===============>..............] - ETA: 0s - loss: 1.0214e-04 - mean_absolute_error: 0.0078 86/126 [===================>..........] - ETA: 0s - loss: 9.8559e-05 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 1.0282e-04 - mean_absolute_error: 0.0078124/126 [============================>.] - ETA: 0s - loss: 1.0688e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0716e-04 - mean_absolute_error: 0.0079 - val_loss: 9.4555e-05 - val_mean_absolute_error: 0.0075
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 6.1518e-05 - mean_absolute_error: 0.0059 13/126 [==>...........................] - ETA: 0s - loss: 1.0009e-04 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 1.0373e-04 - mean_absolute_error: 0.0077 37/126 [=======>......................] - ETA: 0s - loss: 9.6853e-05 - mean_absolute_error: 0.0074 59/126 [=============>................] - ETA: 0s - loss: 9.3265e-05 - mean_absolute_error: 0.0074 83/126 [==================>...........] - ETA: 0s - loss: 9.3424e-05 - mean_absolute_error: 0.0074105/126 [========================>.....] - ETA: 0s - loss: 9.6475e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 1.0061e-04 - mean_absolute_error: 0.0076 - val_loss: 9.8603e-05 - val_mean_absolute_error: 0.0078
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.0618e-04 - mean_absolute_error: 0.0077 22/126 [====>.........................] - ETA: 0s - loss: 9.2006e-05 - mean_absolute_error: 0.0072 43/126 [=========>....................] - ETA: 0s - loss: 9.6071e-05 - mean_absolute_error: 0.0075 62/126 [=============>................] - ETA: 0s - loss: 1.0112e-04 - mean_absolute_error: 0.0076 72/126 [================>.............] - ETA: 0s - loss: 9.9659e-05 - mean_absolute_error: 0.0076 86/126 [===================>..........] - ETA: 0s - loss: 9.9986e-05 - mean_absolute_error: 0.0076103/126 [=======================>......] - ETA: 0s - loss: 9.7647e-05 - mean_absolute_error: 0.0075117/126 [==========================>...] - ETA: 0s - loss: 9.7709e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 4ms/step - loss: 9.9712e-05 - mean_absolute_error: 0.0076 - val_loss: 1.3792e-04 - val_mean_absolute_error: 0.0093
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 9.6544e-05 - mean_absolute_error: 0.0083 24/126 [====>.........................] - ETA: 0s - loss: 1.2209e-04 - mean_absolute_error: 0.0084 49/126 [==========>...................] - ETA: 0s - loss: 1.0329e-04 - mean_absolute_error: 0.0078 63/126 [==============>...............] - ETA: 0s - loss: 9.9837e-05 - mean_absolute_error: 0.0077 77/126 [=================>............] - ETA: 0s - loss: 1.0100e-04 - mean_absolute_error: 0.0077 93/126 [=====================>........] - ETA: 0s - loss: 9.9730e-05 - mean_absolute_error: 0.0077109/126 [========================>.....] - ETA: 0s - loss: 1.0464e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0579e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 3ms/step - loss: 1.0560e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0490e-04 - val_mean_absolute_error: 0.0081
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 6.9717e-05 - mean_absolute_error: 0.0067 16/126 [==>...........................] - ETA: 0s - loss: 9.6237e-05 - mean_absolute_error: 0.0076 35/126 [=======>......................] - ETA: 0s - loss: 9.5759e-05 - mean_absolute_error: 0.0075 52/126 [===========>..................] - ETA: 0s - loss: 1.0155e-04 - mean_absolute_error: 0.0077 67/126 [==============>...............] - ETA: 0s - loss: 1.0499e-04 - mean_absolute_error: 0.0079 75/126 [================>.............] - ETA: 0s - loss: 1.0222e-04 - mean_absolute_error: 0.0078 86/126 [===================>..........] - ETA: 0s - loss: 1.0449e-04 - mean_absolute_error: 0.0078 98/126 [======================>.......] - ETA: 0s - loss: 1.1003e-04 - mean_absolute_error: 0.0081109/126 [========================>.....] - ETA: 0s - loss: 1.1042e-04 - mean_absolute_error: 0.0081121/126 [===========================>..] - ETA: 0s - loss: 1.0928e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 1s 4ms/step - loss: 1.0947e-04 - mean_absolute_error: 0.0081 - val_loss: 2.1501e-04 - val_mean_absolute_error: 0.0124
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 1.6857e-04 - mean_absolute_error: 0.0102 11/126 [=>............................] - ETA: 0s - loss: 1.1095e-04 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 1.0393e-04 - mean_absolute_error: 0.0077 35/126 [=======>......................] - ETA: 0s - loss: 1.0802e-04 - mean_absolute_error: 0.0080 47/126 [==========>...................] - ETA: 0s - loss: 1.1489e-04 - mean_absolute_error: 0.0082 58/126 [============>.................] - ETA: 0s - loss: 1.1299e-04 - mean_absolute_error: 0.0082 69/126 [===============>..............] - ETA: 0s - loss: 1.1190e-04 - mean_absolute_error: 0.0081 85/126 [===================>..........] - ETA: 0s - loss: 1.1010e-04 - mean_absolute_error: 0.0080 99/126 [======================>.......] - ETA: 0s - loss: 1.0890e-04 - mean_absolute_error: 0.0080116/126 [==========================>...] - ETA: 0s - loss: 1.1243e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 1s 5ms/step - loss: 1.1173e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0555e-04 - val_mean_absolute_error: 0.0081
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 8.3016e-05 - mean_absolute_error: 0.0070 10/126 [=>............................] - ETA: 0s - loss: 9.1822e-05 - mean_absolute_error: 0.0073 19/126 [===>..........................] - ETA: 0s - loss: 1.0175e-04 - mean_absolute_error: 0.0079 29/126 [=====>........................] - ETA: 0s - loss: 1.0442e-04 - mean_absolute_error: 0.0080 41/126 [========>.....................] - ETA: 0s - loss: 1.0167e-04 - mean_absolute_error: 0.0078 54/126 [===========>..................] - ETA: 0s - loss: 1.0934e-04 - mean_absolute_error: 0.0082 67/126 [==============>...............] - ETA: 0s - loss: 1.0601e-04 - mean_absolute_error: 0.0080 80/126 [==================>...........] - ETA: 0s - loss: 1.0604e-04 - mean_absolute_error: 0.0080 92/126 [====================>.........] - ETA: 0s - loss: 1.1069e-04 - mean_absolute_error: 0.0082103/126 [=======================>......] - ETA: 0s - loss: 1.1152e-04 - mean_absolute_error: 0.0082116/126 [==========================>...] - ETA: 0s - loss: 1.1131e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 1s 5ms/step - loss: 1.1006e-04 - mean_absolute_error: 0.0081 - val_loss: 1.0232e-04 - val_mean_absolute_error: 0.0080
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 4.4314e-05 - mean_absolute_error: 0.0052 12/126 [=>............................] - ETA: 0s - loss: 1.1264e-04 - mean_absolute_error: 0.0080 25/126 [====>.........................] - ETA: 0s - loss: 1.0410e-04 - mean_absolute_error: 0.0077 37/126 [=======>......................] - ETA: 0s - loss: 9.8239e-05 - mean_absolute_error: 0.0074 51/126 [===========>..................] - ETA: 0s - loss: 9.8351e-05 - mean_absolute_error: 0.0074 65/126 [==============>...............] - ETA: 0s - loss: 1.0279e-04 - mean_absolute_error: 0.0077 79/126 [=================>............] - ETA: 0s - loss: 1.0602e-04 - mean_absolute_error: 0.0078 96/126 [=====================>........] - ETA: 0s - loss: 9.9853e-05 - mean_absolute_error: 0.0076113/126 [=========================>....] - ETA: 0s - loss: 9.8910e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 1s 4ms/step - loss: 9.8104e-05 - mean_absolute_error: 0.0075 - val_loss: 9.3311e-05 - val_mean_absolute_error: 0.0074
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 5.6017e-05 - mean_absolute_error: 0.0058 17/126 [===>..........................] - ETA: 0s - loss: 1.0332e-04 - mean_absolute_error: 0.0077 32/126 [======>.......................] - ETA: 0s - loss: 1.0058e-04 - mean_absolute_error: 0.0078 50/126 [==========>...................] - ETA: 0s - loss: 1.0447e-04 - mean_absolute_error: 0.0080 69/126 [===============>..............] - ETA: 0s - loss: 1.0644e-04 - mean_absolute_error: 0.0080 88/126 [===================>..........] - ETA: 0s - loss: 1.0226e-04 - mean_absolute_error: 0.0078108/126 [========================>.....] - ETA: 0s - loss: 9.7969e-05 - mean_absolute_error: 0.0076126/126 [==============================] - ETA: 0s - loss: 9.7825e-05 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 9.7825e-05 - mean_absolute_error: 0.0076 - val_loss: 2.5674e-04 - val_mean_absolute_error: 0.0135
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 2.0119e-04 - mean_absolute_error: 0.0128 12/126 [=>............................] - ETA: 0s - loss: 1.6982e-04 - mean_absolute_error: 0.0106 23/126 [====>.........................] - ETA: 0s - loss: 1.4587e-04 - mean_absolute_error: 0.0094 36/126 [=======>......................] - ETA: 0s - loss: 1.2400e-04 - mean_absolute_error: 0.0085 52/126 [===========>..................] - ETA: 0s - loss: 1.1539e-04 - mean_absolute_error: 0.0083 68/126 [===============>..............] - ETA: 0s - loss: 1.1355e-04 - mean_absolute_error: 0.0081 84/126 [===================>..........] - ETA: 0s - loss: 1.0778e-04 - mean_absolute_error: 0.0079 99/126 [======================>.......] - ETA: 0s - loss: 1.0485e-04 - mean_absolute_error: 0.0078115/126 [==========================>...] - ETA: 0s - loss: 1.0212e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 1s 4ms/step - loss: 1.0266e-04 - mean_absolute_error: 0.0078 - val_loss: 1.1383e-04 - val_mean_absolute_error: 0.0085
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 9.0066e-05 - mean_absolute_error: 0.0078 18/126 [===>..........................] - ETA: 0s - loss: 9.5375e-05 - mean_absolute_error: 0.0076 32/126 [======>.......................] - ETA: 0s - loss: 1.1058e-04 - mean_absolute_error: 0.0082 45/126 [=========>....................] - ETA: 0s - loss: 1.0603e-04 - mean_absolute_error: 0.0081 59/126 [=============>................] - ETA: 0s - loss: 1.0468e-04 - mean_absolute_error: 0.0080 71/126 [===============>..............] - ETA: 0s - loss: 1.0659e-04 - mean_absolute_error: 0.0081 84/126 [===================>..........] - ETA: 0s - loss: 1.1174e-04 - mean_absolute_error: 0.0082 95/126 [=====================>........] - ETA: 0s - loss: 1.1150e-04 - mean_absolute_error: 0.0082109/126 [========================>.....] - ETA: 0s - loss: 1.1095e-04 - mean_absolute_error: 0.0082123/126 [============================>.] - ETA: 0s - loss: 1.1519e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 1s 4ms/step - loss: 1.1519e-04 - mean_absolute_error: 0.0083 - val_loss: 1.3434e-04 - val_mean_absolute_error: 0.0094

<keras.src.callbacks.History at 0x253c39f1ad0>

After the training and fitting of the Machine Learning model for Canada, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
canada_train_pred = canada_model.predict(X_canada_train).flatten()

plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Training Set Predictions vs. Observations")
plt.show()

canada_val_pred = canada_model.predict(X_canada_val).flatten()

plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Validation Set Predictions vs. Observations")
plt.show()

canada_test_pred = canada_model.predict(X_canada_test).flatten()

plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 1:00 30/126 [======>.......................] - ETA: 0s   61/126 [=============>................] - ETA: 0s 91/126 [====================>.........] - ETA: 0s120/126 [===========================>..] - ETA: 0s126/126 [==============================] - 1s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Canada’s international currency rate with the United States.

```{python}
# Plotting Canada's observational (reference) data with the predictions of its 
# Machine Learning Model (as a way to visually inspect the effectiveness of the 
# model) 
plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Then, I worked on the United Kingdom’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split the United Kingdom’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting United Kingdom's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_united_kingdom_train, X_united_kingdom_train, y_united_kingdom_train = dates_united_kingdom[:percentile_80], X_united_kingdom[:percentile_80], y_united_kingdom[:percentile_80]
dates_united_kingdom_val, X_united_kingdom_val, y_united_kingdom_val = dates_united_kingdom[percentile_80:percentile_90], X_united_kingdom[percentile_80:percentile_90], y_united_kingdom[percentile_80:percentile_90]
dates_united_kingdom_test, X_united_kingdom_test, y_united_kingdom_test = dates_united_kingdom[percentile_90:], X_united_kingdom[percentile_90:], y_united_kingdom[percentile_90:]

plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of United Kingdom's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for United Kingdom
united_kingdom_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

united_kingdom_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

united_kingdom_model.fit(X_united_kingdom_train, y_united_kingdom_train, validation_data=(X_united_kingdom_val, y_united_kingdom_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:43 - loss: 0.3561 - mean_absolute_error: 0.5941 10/126 [=>............................] - ETA: 0s - loss: 0.3017 - mean_absolute_error: 0.5452   19/126 [===>..........................] - ETA: 0s - loss: 0.2383 - mean_absolute_error: 0.4783 27/126 [=====>........................] - ETA: 0s - loss: 0.1847 - mean_absolute_error: 0.4042 35/126 [=======>......................] - ETA: 0s - loss: 0.1435 - mean_absolute_error: 0.3247 44/126 [=========>....................] - ETA: 0s - loss: 0.1162 - mean_absolute_error: 0.2781 53/126 [===========>..................] - ETA: 0s - loss: 0.0967 - mean_absolute_error: 0.2358 62/126 [=============>................] - ETA: 0s - loss: 0.0829 - mean_absolute_error: 0.2074 71/126 [===============>..............] - ETA: 0s - loss: 0.0725 - mean_absolute_error: 0.1839 80/126 [==================>...........] - ETA: 0s - loss: 0.0645 - mean_absolute_error: 0.1657 89/126 [====================>.........] - ETA: 0s - loss: 0.0580 - mean_absolute_error: 0.1510 98/126 [======================>.......] - ETA: 0s - loss: 0.0527 - mean_absolute_error: 0.1391106/126 [========================>.....] - ETA: 0s - loss: 0.0488 - mean_absolute_error: 0.1300114/126 [==========================>...] - ETA: 0s - loss: 0.0454 - mean_absolute_error: 0.1223123/126 [============================>.] - ETA: 0s - loss: 0.0421 - mean_absolute_error: 0.1148126/126 [==============================] - 3s 10ms/step - loss: 0.0414 - mean_absolute_error: 0.1131 - val_loss: 0.0036 - val_mean_absolute_error: 0.0570
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 7.1162e-04 - mean_absolute_error: 0.0230 21/126 [====>.........................] - ETA: 0s - loss: 5.6162e-04 - mean_absolute_error: 0.0191 45/126 [=========>....................] - ETA: 0s - loss: 5.6320e-04 - mean_absolute_error: 0.0194 68/126 [===============>..............] - ETA: 0s - loss: 5.5298e-04 - mean_absolute_error: 0.0191 91/126 [====================>.........] - ETA: 0s - loss: 5.3788e-04 - mean_absolute_error: 0.0188115/126 [==========================>...] - ETA: 0s - loss: 5.2206e-04 - mean_absolute_error: 0.0185126/126 [==============================] - 0s 3ms/step - loss: 5.2155e-04 - mean_absolute_error: 0.0185 - val_loss: 0.0028 - val_mean_absolute_error: 0.0509
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 4.8798e-04 - mean_absolute_error: 0.0175 22/126 [====>.........................] - ETA: 0s - loss: 4.6009e-04 - mean_absolute_error: 0.0172 45/126 [=========>....................] - ETA: 0s - loss: 4.5148e-04 - mean_absolute_error: 0.0171 69/126 [===============>..............] - ETA: 0s - loss: 4.3013e-04 - mean_absolute_error: 0.0167 94/126 [=====================>........] - ETA: 0s - loss: 4.0827e-04 - mean_absolute_error: 0.0162118/126 [===========================>..] - ETA: 0s - loss: 3.9927e-04 - mean_absolute_error: 0.0162126/126 [==============================] - 0s 3ms/step - loss: 3.9619e-04 - mean_absolute_error: 0.0161 - val_loss: 0.0020 - val_mean_absolute_error: 0.0423
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 4.4241e-04 - mean_absolute_error: 0.0183 26/126 [=====>........................] - ETA: 0s - loss: 3.2081e-04 - mean_absolute_error: 0.0149 51/126 [===========>..................] - ETA: 0s - loss: 3.0490e-04 - mean_absolute_error: 0.0143 75/126 [================>.............] - ETA: 0s - loss: 2.9334e-04 - mean_absolute_error: 0.0139101/126 [=======================>......] - ETA: 0s - loss: 2.8133e-04 - mean_absolute_error: 0.0136126/126 [==============================] - 0s 2ms/step - loss: 2.6505e-04 - mean_absolute_error: 0.0131 - val_loss: 9.3475e-04 - val_mean_absolute_error: 0.0286
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.8695e-04 - mean_absolute_error: 0.0111 18/126 [===>..........................] - ETA: 0s - loss: 2.0431e-04 - mean_absolute_error: 0.0114 40/126 [========>.....................] - ETA: 0s - loss: 1.9447e-04 - mean_absolute_error: 0.0112 67/126 [==============>...............] - ETA: 0s - loss: 1.7796e-04 - mean_absolute_error: 0.0107 93/126 [=====================>........] - ETA: 0s - loss: 1.6768e-04 - mean_absolute_error: 0.0104119/126 [===========================>..] - ETA: 0s - loss: 1.5802e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.5541e-04 - mean_absolute_error: 0.0099 - val_loss: 4.5859e-04 - val_mean_absolute_error: 0.0196
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 7.5002e-05 - mean_absolute_error: 0.0072 20/126 [===>..........................] - ETA: 0s - loss: 1.0569e-04 - mean_absolute_error: 0.0081 38/126 [========>.....................] - ETA: 0s - loss: 9.9129e-05 - mean_absolute_error: 0.0080 59/126 [=============>................] - ETA: 0s - loss: 9.2924e-05 - mean_absolute_error: 0.0077 77/126 [=================>............] - ETA: 0s - loss: 9.0711e-05 - mean_absolute_error: 0.0076 93/126 [=====================>........] - ETA: 0s - loss: 8.8936e-05 - mean_absolute_error: 0.0075109/126 [========================>.....] - ETA: 0s - loss: 8.8173e-05 - mean_absolute_error: 0.0074125/126 [============================>.] - ETA: 0s - loss: 8.4604e-05 - mean_absolute_error: 0.0073126/126 [==============================] - 0s 3ms/step - loss: 8.4437e-05 - mean_absolute_error: 0.0073 - val_loss: 1.3433e-04 - val_mean_absolute_error: 0.0093
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 3.9043e-05 - mean_absolute_error: 0.0050 14/126 [==>...........................] - ETA: 0s - loss: 5.6724e-05 - mean_absolute_error: 0.0059 33/126 [======>.......................] - ETA: 0s - loss: 5.6217e-05 - mean_absolute_error: 0.0059 50/126 [==========>...................] - ETA: 0s - loss: 5.4859e-05 - mean_absolute_error: 0.0058 66/126 [==============>...............] - ETA: 0s - loss: 5.1849e-05 - mean_absolute_error: 0.0057 81/126 [==================>...........] - ETA: 0s - loss: 5.2620e-05 - mean_absolute_error: 0.0056 97/126 [======================>.......] - ETA: 0s - loss: 5.1290e-05 - mean_absolute_error: 0.0056115/126 [==========================>...] - ETA: 0s - loss: 5.0386e-05 - mean_absolute_error: 0.0055126/126 [==============================] - 0s 4ms/step - loss: 4.9617e-05 - mean_absolute_error: 0.0054 - val_loss: 7.9538e-05 - val_mean_absolute_error: 0.0065
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 3.1595e-05 - mean_absolute_error: 0.0048 22/126 [====>.........................] - ETA: 0s - loss: 3.7937e-05 - mean_absolute_error: 0.0047 44/126 [=========>....................] - ETA: 0s - loss: 4.0313e-05 - mean_absolute_error: 0.0048 65/126 [==============>...............] - ETA: 0s - loss: 4.0013e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 4.0016e-05 - mean_absolute_error: 0.0047108/126 [========================>.....] - ETA: 0s - loss: 3.9783e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9179e-05 - mean_absolute_error: 0.0047 - val_loss: 6.8641e-05 - val_mean_absolute_error: 0.0057
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 8.9603e-05 - mean_absolute_error: 0.0066 22/126 [====>.........................] - ETA: 0s - loss: 3.3429e-05 - mean_absolute_error: 0.0043 44/126 [=========>....................] - ETA: 0s - loss: 3.5386e-05 - mean_absolute_error: 0.0044 64/126 [==============>...............] - ETA: 0s - loss: 3.6157e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.6163e-05 - mean_absolute_error: 0.0044109/126 [========================>.....] - ETA: 0s - loss: 3.6018e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.5962e-05 - mean_absolute_error: 0.0043 - val_loss: 7.1326e-05 - val_mean_absolute_error: 0.0060
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.6898e-05 - mean_absolute_error: 0.0031 24/126 [====>.........................] - ETA: 0s - loss: 3.2996e-05 - mean_absolute_error: 0.0042 50/126 [==========>...................] - ETA: 0s - loss: 3.4288e-05 - mean_absolute_error: 0.0043 76/126 [=================>............] - ETA: 0s - loss: 3.4921e-05 - mean_absolute_error: 0.0043101/126 [=======================>......] - ETA: 0s - loss: 3.4756e-05 - mean_absolute_error: 0.0043123/126 [============================>.] - ETA: 0s - loss: 3.5723e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 2ms/step - loss: 3.5719e-05 - mean_absolute_error: 0.0043 - val_loss: 8.8142e-05 - val_mean_absolute_error: 0.0072
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 3.5014e-05 - mean_absolute_error: 0.0039 25/126 [====>.........................] - ETA: 0s - loss: 3.0790e-05 - mean_absolute_error: 0.0040 52/126 [===========>..................] - ETA: 0s - loss: 3.0826e-05 - mean_absolute_error: 0.0040 78/126 [=================>............] - ETA: 0s - loss: 3.4261e-05 - mean_absolute_error: 0.0041105/126 [========================>.....] - ETA: 0s - loss: 3.5310e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 2ms/step - loss: 3.5211e-05 - mean_absolute_error: 0.0043 - val_loss: 1.1032e-04 - val_mean_absolute_error: 0.0084
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 3.5177e-05 - mean_absolute_error: 0.0047 21/126 [====>.........................] - ETA: 0s - loss: 3.2065e-05 - mean_absolute_error: 0.0042 47/126 [==========>...................] - ETA: 0s - loss: 3.4110e-05 - mean_absolute_error: 0.0043 73/126 [================>.............] - ETA: 0s - loss: 3.4891e-05 - mean_absolute_error: 0.0043 99/126 [======================>.......] - ETA: 0s - loss: 3.6212e-05 - mean_absolute_error: 0.0044125/126 [============================>.] - ETA: 0s - loss: 3.7416e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7355e-05 - mean_absolute_error: 0.0045 - val_loss: 1.3812e-04 - val_mean_absolute_error: 0.0097
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 3.4763e-05 - mean_absolute_error: 0.0048 18/126 [===>..........................] - ETA: 0s - loss: 3.6272e-05 - mean_absolute_error: 0.0045 39/126 [========>.....................] - ETA: 0s - loss: 3.7531e-05 - mean_absolute_error: 0.0046 65/126 [==============>...............] - ETA: 0s - loss: 4.0527e-05 - mean_absolute_error: 0.0048 91/126 [====================>.........] - ETA: 0s - loss: 4.0682e-05 - mean_absolute_error: 0.0048113/126 [=========================>....] - ETA: 0s - loss: 3.9973e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 3.9602e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9258e-05 - mean_absolute_error: 0.0046 - val_loss: 8.5853e-05 - val_mean_absolute_error: 0.0070
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 3.1335e-05 - mean_absolute_error: 0.0042 17/126 [===>..........................] - ETA: 0s - loss: 3.0786e-05 - mean_absolute_error: 0.0038 34/126 [=======>......................] - ETA: 0s - loss: 3.4811e-05 - mean_absolute_error: 0.0040 50/126 [==========>...................] - ETA: 0s - loss: 3.3599e-05 - mean_absolute_error: 0.0040 64/126 [==============>...............] - ETA: 0s - loss: 3.3573e-05 - mean_absolute_error: 0.0041 80/126 [==================>...........] - ETA: 0s - loss: 3.3867e-05 - mean_absolute_error: 0.0041 96/126 [=====================>........] - ETA: 0s - loss: 3.5522e-05 - mean_absolute_error: 0.0042114/126 [==========================>...] - ETA: 0s - loss: 3.5281e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 4ms/step - loss: 3.4920e-05 - mean_absolute_error: 0.0042 - val_loss: 7.8972e-05 - val_mean_absolute_error: 0.0066
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 3.0115e-05 - mean_absolute_error: 0.0043 15/126 [==>...........................] - ETA: 0s - loss: 3.1966e-05 - mean_absolute_error: 0.0042 29/126 [=====>........................] - ETA: 0s - loss: 3.2320e-05 - mean_absolute_error: 0.0042 46/126 [=========>....................] - ETA: 0s - loss: 3.2909e-05 - mean_absolute_error: 0.0042 62/126 [=============>................] - ETA: 0s - loss: 3.3685e-05 - mean_absolute_error: 0.0042 75/126 [================>.............] - ETA: 0s - loss: 3.5101e-05 - mean_absolute_error: 0.0043 99/126 [======================>.......] - ETA: 0s - loss: 3.5601e-05 - mean_absolute_error: 0.0043124/126 [============================>.] - ETA: 0s - loss: 3.4752e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.4898e-05 - mean_absolute_error: 0.0042 - val_loss: 7.9728e-05 - val_mean_absolute_error: 0.0066
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 2.8046e-05 - mean_absolute_error: 0.0039 20/126 [===>..........................] - ETA: 0s - loss: 3.4666e-05 - mean_absolute_error: 0.0042 42/126 [=========>....................] - ETA: 0s - loss: 3.6955e-05 - mean_absolute_error: 0.0043 65/126 [==============>...............] - ETA: 0s - loss: 3.6784e-05 - mean_absolute_error: 0.0043 91/126 [====================>.........] - ETA: 0s - loss: 3.5891e-05 - mean_absolute_error: 0.0043116/126 [==========================>...] - ETA: 0s - loss: 3.4463e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.5017e-05 - mean_absolute_error: 0.0042 - val_loss: 9.0430e-05 - val_mean_absolute_error: 0.0073
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 2.8054e-05 - mean_absolute_error: 0.0038 22/126 [====>.........................] - ETA: 0s - loss: 2.8825e-05 - mean_absolute_error: 0.0038 49/126 [==========>...................] - ETA: 0s - loss: 3.3718e-05 - mean_absolute_error: 0.0041 76/126 [=================>............] - ETA: 0s - loss: 3.5145e-05 - mean_absolute_error: 0.0042102/126 [=======================>......] - ETA: 0s - loss: 3.5339e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 2ms/step - loss: 3.5978e-05 - mean_absolute_error: 0.0043 - val_loss: 1.0382e-04 - val_mean_absolute_error: 0.0081
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 3.2073e-05 - mean_absolute_error: 0.0045 23/126 [====>.........................] - ETA: 0s - loss: 4.7470e-05 - mean_absolute_error: 0.0055 47/126 [==========>...................] - ETA: 0s - loss: 4.4785e-05 - mean_absolute_error: 0.0053 73/126 [================>.............] - ETA: 0s - loss: 4.0674e-05 - mean_absolute_error: 0.0049 98/126 [======================>.......] - ETA: 0s - loss: 4.0212e-05 - mean_absolute_error: 0.0048124/126 [============================>.] - ETA: 0s - loss: 3.9879e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 2ms/step - loss: 3.9819e-05 - mean_absolute_error: 0.0048 - val_loss: 7.6990e-05 - val_mean_absolute_error: 0.0064
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 3.0495e-05 - mean_absolute_error: 0.0036 20/126 [===>..........................] - ETA: 0s - loss: 3.5747e-05 - mean_absolute_error: 0.0042 46/126 [=========>....................] - ETA: 0s - loss: 3.5270e-05 - mean_absolute_error: 0.0042 71/126 [===============>..............] - ETA: 0s - loss: 3.6821e-05 - mean_absolute_error: 0.0044 97/126 [======================>.......] - ETA: 0s - loss: 3.7480e-05 - mean_absolute_error: 0.0045124/126 [============================>.] - ETA: 0s - loss: 3.7253e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7162e-05 - mean_absolute_error: 0.0045 - val_loss: 1.0729e-04 - val_mean_absolute_error: 0.0083
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 3.1316e-05 - mean_absolute_error: 0.0046 23/126 [====>.........................] - ETA: 0s - loss: 3.7950e-05 - mean_absolute_error: 0.0045 48/126 [==========>...................] - ETA: 0s - loss: 3.6432e-05 - mean_absolute_error: 0.0044 71/126 [===============>..............] - ETA: 0s - loss: 3.6247e-05 - mean_absolute_error: 0.0044 94/126 [=====================>........] - ETA: 0s - loss: 3.6416e-05 - mean_absolute_error: 0.0044119/126 [===========================>..] - ETA: 0s - loss: 3.6520e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6147e-05 - mean_absolute_error: 0.0044 - val_loss: 9.6462e-05 - val_mean_absolute_error: 0.0077
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 2.1577e-05 - mean_absolute_error: 0.0035 17/126 [===>..........................] - ETA: 0s - loss: 4.5307e-05 - mean_absolute_error: 0.0047 28/126 [=====>........................] - ETA: 0s - loss: 4.2608e-05 - mean_absolute_error: 0.0046 44/126 [=========>....................] - ETA: 0s - loss: 3.9156e-05 - mean_absolute_error: 0.0044 63/126 [==============>...............] - ETA: 0s - loss: 3.7726e-05 - mean_absolute_error: 0.0044 85/126 [===================>..........] - ETA: 0s - loss: 3.6680e-05 - mean_absolute_error: 0.0043107/126 [========================>.....] - ETA: 0s - loss: 3.6169e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5760e-05 - mean_absolute_error: 0.0043 - val_loss: 9.0490e-05 - val_mean_absolute_error: 0.0074
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 2.4221e-05 - mean_absolute_error: 0.0037 20/126 [===>..........................] - ETA: 0s - loss: 3.6858e-05 - mean_absolute_error: 0.0044 43/126 [=========>....................] - ETA: 0s - loss: 3.8762e-05 - mean_absolute_error: 0.0044 67/126 [==============>...............] - ETA: 0s - loss: 3.5710e-05 - mean_absolute_error: 0.0042 94/126 [=====================>........] - ETA: 0s - loss: 3.6051e-05 - mean_absolute_error: 0.0043119/126 [===========================>..] - ETA: 0s - loss: 3.5794e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5468e-05 - mean_absolute_error: 0.0043 - val_loss: 8.5756e-05 - val_mean_absolute_error: 0.0071
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 3.9260e-05 - mean_absolute_error: 0.0042 24/126 [====>.........................] - ETA: 0s - loss: 3.6410e-05 - mean_absolute_error: 0.0044 49/126 [==========>...................] - ETA: 0s - loss: 3.8044e-05 - mean_absolute_error: 0.0045 75/126 [================>.............] - ETA: 0s - loss: 3.6463e-05 - mean_absolute_error: 0.0044101/126 [=======================>......] - ETA: 0s - loss: 3.4421e-05 - mean_absolute_error: 0.0043125/126 [============================>.] - ETA: 0s - loss: 3.5187e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 2ms/step - loss: 3.5188e-05 - mean_absolute_error: 0.0043 - val_loss: 7.3828e-05 - val_mean_absolute_error: 0.0063
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 3.2094e-05 - mean_absolute_error: 0.0042 24/126 [====>.........................] - ETA: 0s - loss: 3.2521e-05 - mean_absolute_error: 0.0043 49/126 [==========>...................] - ETA: 0s - loss: 3.2253e-05 - mean_absolute_error: 0.0042 74/126 [================>.............] - ETA: 0s - loss: 3.5153e-05 - mean_absolute_error: 0.0044 99/126 [======================>.......] - ETA: 0s - loss: 3.6509e-05 - mean_absolute_error: 0.0044124/126 [============================>.] - ETA: 0s - loss: 3.6514e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 2ms/step - loss: 3.6540e-05 - mean_absolute_error: 0.0044 - val_loss: 7.1699e-05 - val_mean_absolute_error: 0.0061
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 4.0521e-05 - mean_absolute_error: 0.0049 23/126 [====>.........................] - ETA: 0s - loss: 3.2136e-05 - mean_absolute_error: 0.0041 47/126 [==========>...................] - ETA: 0s - loss: 3.2950e-05 - mean_absolute_error: 0.0042 70/126 [===============>..............] - ETA: 0s - loss: 3.3627e-05 - mean_absolute_error: 0.0042 96/126 [=====================>........] - ETA: 0s - loss: 3.8384e-05 - mean_absolute_error: 0.0046120/126 [===========================>..] - ETA: 0s - loss: 3.8666e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 2ms/step - loss: 3.8351e-05 - mean_absolute_error: 0.0046 - val_loss: 8.5926e-05 - val_mean_absolute_error: 0.0072
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 2.8858e-05 - mean_absolute_error: 0.0043 17/126 [===>..........................] - ETA: 0s - loss: 3.9869e-05 - mean_absolute_error: 0.0046 32/126 [======>.......................] - ETA: 0s - loss: 4.3848e-05 - mean_absolute_error: 0.0050 47/126 [==========>...................] - ETA: 0s - loss: 4.4171e-05 - mean_absolute_error: 0.0051 65/126 [==============>...............] - ETA: 0s - loss: 4.2661e-05 - mean_absolute_error: 0.0050 88/126 [===================>..........] - ETA: 0s - loss: 4.0413e-05 - mean_absolute_error: 0.0048112/126 [=========================>....] - ETA: 0s - loss: 3.9849e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 4.0066e-05 - mean_absolute_error: 0.0047 - val_loss: 6.9720e-05 - val_mean_absolute_error: 0.0057
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 3.2965e-05 - mean_absolute_error: 0.0047 24/126 [====>.........................] - ETA: 0s - loss: 3.5893e-05 - mean_absolute_error: 0.0047 46/126 [=========>....................] - ETA: 0s - loss: 3.6133e-05 - mean_absolute_error: 0.0047 70/126 [===============>..............] - ETA: 0s - loss: 3.7099e-05 - mean_absolute_error: 0.0048 95/126 [=====================>........] - ETA: 0s - loss: 3.9113e-05 - mean_absolute_error: 0.0048120/126 [===========================>..] - ETA: 0s - loss: 4.0110e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0496e-05 - mean_absolute_error: 0.0048 - val_loss: 8.7692e-05 - val_mean_absolute_error: 0.0073
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 3.5208e-05 - mean_absolute_error: 0.0049 19/126 [===>..........................] - ETA: 0s - loss: 3.8037e-05 - mean_absolute_error: 0.0047 41/126 [========>.....................] - ETA: 0s - loss: 3.5568e-05 - mean_absolute_error: 0.0044 64/126 [==============>...............] - ETA: 0s - loss: 3.6212e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.5643e-05 - mean_absolute_error: 0.0044113/126 [=========================>....] - ETA: 0s - loss: 3.5423e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5399e-05 - mean_absolute_error: 0.0043 - val_loss: 8.6797e-05 - val_mean_absolute_error: 0.0069
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 6.0784e-05 - mean_absolute_error: 0.0062 22/126 [====>.........................] - ETA: 0s - loss: 4.1048e-05 - mean_absolute_error: 0.0046 44/126 [=========>....................] - ETA: 0s - loss: 4.4426e-05 - mean_absolute_error: 0.0050 65/126 [==============>...............] - ETA: 0s - loss: 4.3885e-05 - mean_absolute_error: 0.0050 90/126 [====================>.........] - ETA: 0s - loss: 4.3286e-05 - mean_absolute_error: 0.0050117/126 [==========================>...] - ETA: 0s - loss: 4.1619e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1171e-05 - mean_absolute_error: 0.0049 - val_loss: 8.3415e-05 - val_mean_absolute_error: 0.0070
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 3.2280e-05 - mean_absolute_error: 0.0045 21/126 [====>.........................] - ETA: 0s - loss: 4.4332e-05 - mean_absolute_error: 0.0053 37/126 [=======>......................] - ETA: 0s - loss: 4.3229e-05 - mean_absolute_error: 0.0051 53/126 [===========>..................] - ETA: 0s - loss: 4.2030e-05 - mean_absolute_error: 0.0050 71/126 [===============>..............] - ETA: 0s - loss: 4.0665e-05 - mean_absolute_error: 0.0049 91/126 [====================>.........] - ETA: 0s - loss: 4.0112e-05 - mean_absolute_error: 0.0048113/126 [=========================>....] - ETA: 0s - loss: 4.0949e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1083e-05 - mean_absolute_error: 0.0049 - val_loss: 6.8896e-05 - val_mean_absolute_error: 0.0058
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 3.3722e-05 - mean_absolute_error: 0.0045 22/126 [====>.........................] - ETA: 0s - loss: 4.8075e-05 - mean_absolute_error: 0.0053 44/126 [=========>....................] - ETA: 0s - loss: 4.6139e-05 - mean_absolute_error: 0.0051 69/126 [===============>..............] - ETA: 0s - loss: 4.2308e-05 - mean_absolute_error: 0.0049 91/126 [====================>.........] - ETA: 0s - loss: 4.0232e-05 - mean_absolute_error: 0.0047114/126 [==========================>...] - ETA: 0s - loss: 4.0470e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9544e-05 - mean_absolute_error: 0.0047 - val_loss: 6.7280e-05 - val_mean_absolute_error: 0.0057
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.2377e-05 - mean_absolute_error: 0.0022 22/126 [====>.........................] - ETA: 0s - loss: 3.4759e-05 - mean_absolute_error: 0.0044 45/126 [=========>....................] - ETA: 0s - loss: 3.7157e-05 - mean_absolute_error: 0.0045 70/126 [===============>..............] - ETA: 0s - loss: 3.6827e-05 - mean_absolute_error: 0.0045 95/126 [=====================>........] - ETA: 0s - loss: 3.6985e-05 - mean_absolute_error: 0.0045121/126 [===========================>..] - ETA: 0s - loss: 3.8309e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8636e-05 - mean_absolute_error: 0.0046 - val_loss: 8.6410e-05 - val_mean_absolute_error: 0.0069
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 3.7747e-05 - mean_absolute_error: 0.0049 20/126 [===>..........................] - ETA: 0s - loss: 3.5254e-05 - mean_absolute_error: 0.0045 43/126 [=========>....................] - ETA: 0s - loss: 3.5315e-05 - mean_absolute_error: 0.0045 68/126 [===============>..............] - ETA: 0s - loss: 3.6103e-05 - mean_absolute_error: 0.0045 93/126 [=====================>........] - ETA: 0s - loss: 3.7869e-05 - mean_absolute_error: 0.0046118/126 [===========================>..] - ETA: 0s - loss: 3.6891e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6785e-05 - mean_absolute_error: 0.0045 - val_loss: 6.8920e-05 - val_mean_absolute_error: 0.0058
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 3.6236e-05 - mean_absolute_error: 0.0045 22/126 [====>.........................] - ETA: 0s - loss: 3.4266e-05 - mean_absolute_error: 0.0041 46/126 [=========>....................] - ETA: 0s - loss: 3.4548e-05 - mean_absolute_error: 0.0043 71/126 [===============>..............] - ETA: 0s - loss: 4.4164e-05 - mean_absolute_error: 0.0050 97/126 [======================>.......] - ETA: 0s - loss: 4.7632e-05 - mean_absolute_error: 0.0053122/126 [============================>.] - ETA: 0s - loss: 4.6363e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 2ms/step - loss: 4.6564e-05 - mean_absolute_error: 0.0052 - val_loss: 8.1293e-05 - val_mean_absolute_error: 0.0066
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 4.3286e-05 - mean_absolute_error: 0.0056 23/126 [====>.........................] - ETA: 0s - loss: 5.2248e-05 - mean_absolute_error: 0.0057 48/126 [==========>...................] - ETA: 0s - loss: 4.4085e-05 - mean_absolute_error: 0.0050 73/126 [================>.............] - ETA: 0s - loss: 4.0125e-05 - mean_absolute_error: 0.0047 98/126 [======================>.......] - ETA: 0s - loss: 3.7878e-05 - mean_absolute_error: 0.0045124/126 [============================>.] - ETA: 0s - loss: 3.8508e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 2ms/step - loss: 3.8728e-05 - mean_absolute_error: 0.0046 - val_loss: 7.7541e-05 - val_mean_absolute_error: 0.0066
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 3.6410e-05 - mean_absolute_error: 0.0048 19/126 [===>..........................] - ETA: 0s - loss: 3.7630e-05 - mean_absolute_error: 0.0048 45/126 [=========>....................] - ETA: 0s - loss: 3.7438e-05 - mean_absolute_error: 0.0047 71/126 [===============>..............] - ETA: 0s - loss: 3.8066e-05 - mean_absolute_error: 0.0046 97/126 [======================>.......] - ETA: 0s - loss: 3.7237e-05 - mean_absolute_error: 0.0046124/126 [============================>.] - ETA: 0s - loss: 3.7376e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7390e-05 - mean_absolute_error: 0.0045 - val_loss: 6.7746e-05 - val_mean_absolute_error: 0.0057
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 2.5439e-05 - mean_absolute_error: 0.0039 25/126 [====>.........................] - ETA: 0s - loss: 3.6556e-05 - mean_absolute_error: 0.0045 51/126 [===========>..................] - ETA: 0s - loss: 3.9366e-05 - mean_absolute_error: 0.0047 77/126 [=================>............] - ETA: 0s - loss: 4.3142e-05 - mean_absolute_error: 0.0050104/126 [=======================>......] - ETA: 0s - loss: 4.1242e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 2ms/step - loss: 4.1465e-05 - mean_absolute_error: 0.0048 - val_loss: 8.6057e-05 - val_mean_absolute_error: 0.0069
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 5.3132e-05 - mean_absolute_error: 0.0058 19/126 [===>..........................] - ETA: 0s - loss: 3.6517e-05 - mean_absolute_error: 0.0044 42/126 [=========>....................] - ETA: 0s - loss: 3.2562e-05 - mean_absolute_error: 0.0042 66/126 [==============>...............] - ETA: 0s - loss: 3.8022e-05 - mean_absolute_error: 0.0046 90/126 [====================>.........] - ETA: 0s - loss: 4.2831e-05 - mean_absolute_error: 0.0050116/126 [==========================>...] - ETA: 0s - loss: 4.3447e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.4133e-05 - mean_absolute_error: 0.0050 - val_loss: 6.7619e-05 - val_mean_absolute_error: 0.0058
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 2.9718e-05 - mean_absolute_error: 0.0034 22/126 [====>.........................] - ETA: 0s - loss: 3.9198e-05 - mean_absolute_error: 0.0047 47/126 [==========>...................] - ETA: 0s - loss: 4.1434e-05 - mean_absolute_error: 0.0048 73/126 [================>.............] - ETA: 0s - loss: 4.0856e-05 - mean_absolute_error: 0.0048 97/126 [======================>.......] - ETA: 0s - loss: 4.8109e-05 - mean_absolute_error: 0.0053123/126 [============================>.] - ETA: 0s - loss: 5.0137e-05 - mean_absolute_error: 0.0055126/126 [==============================] - 0s 2ms/step - loss: 4.9866e-05 - mean_absolute_error: 0.0054 - val_loss: 7.8986e-05 - val_mean_absolute_error: 0.0065
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 6.8940e-05 - mean_absolute_error: 0.0066 21/126 [====>.........................] - ETA: 0s - loss: 3.9145e-05 - mean_absolute_error: 0.0049 46/126 [=========>....................] - ETA: 0s - loss: 3.9609e-05 - mean_absolute_error: 0.0047 72/126 [================>.............] - ETA: 0s - loss: 3.8102e-05 - mean_absolute_error: 0.0046 99/126 [======================>.......] - ETA: 0s - loss: 3.8647e-05 - mean_absolute_error: 0.0046126/126 [==============================] - ETA: 0s - loss: 3.9604e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 2ms/step - loss: 3.9604e-05 - mean_absolute_error: 0.0047 - val_loss: 6.8525e-05 - val_mean_absolute_error: 0.0058
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 1.7216e-05 - mean_absolute_error: 0.0033 20/126 [===>..........................] - ETA: 0s - loss: 4.5826e-05 - mean_absolute_error: 0.0053 43/126 [=========>....................] - ETA: 0s - loss: 4.0265e-05 - mean_absolute_error: 0.0048 66/126 [==============>...............] - ETA: 0s - loss: 4.0038e-05 - mean_absolute_error: 0.0048 85/126 [===================>..........] - ETA: 0s - loss: 3.8858e-05 - mean_absolute_error: 0.0046108/126 [========================>.....] - ETA: 0s - loss: 3.9058e-05 - mean_absolute_error: 0.0047126/126 [==============================] - ETA: 0s - loss: 3.8799e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8799e-05 - mean_absolute_error: 0.0046 - val_loss: 6.6491e-05 - val_mean_absolute_error: 0.0056
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 3.5049e-05 - mean_absolute_error: 0.0046 21/126 [====>.........................] - ETA: 0s - loss: 3.3613e-05 - mean_absolute_error: 0.0040 45/126 [=========>....................] - ETA: 0s - loss: 4.0509e-05 - mean_absolute_error: 0.0046 64/126 [==============>...............] - ETA: 0s - loss: 4.1015e-05 - mean_absolute_error: 0.0047 85/126 [===================>..........] - ETA: 0s - loss: 4.1796e-05 - mean_absolute_error: 0.0048107/126 [========================>.....] - ETA: 0s - loss: 4.0494e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 4.1207e-05 - mean_absolute_error: 0.0048 - val_loss: 6.5184e-05 - val_mean_absolute_error: 0.0056
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 2.5414e-05 - mean_absolute_error: 0.0037 25/126 [====>.........................] - ETA: 0s - loss: 4.0189e-05 - mean_absolute_error: 0.0048 48/126 [==========>...................] - ETA: 0s - loss: 4.4812e-05 - mean_absolute_error: 0.0051 73/126 [================>.............] - ETA: 0s - loss: 4.4307e-05 - mean_absolute_error: 0.0051 98/126 [======================>.......] - ETA: 0s - loss: 4.4504e-05 - mean_absolute_error: 0.0051125/126 [============================>.] - ETA: 0s - loss: 4.5035e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 2ms/step - loss: 4.4946e-05 - mean_absolute_error: 0.0051 - val_loss: 6.4528e-05 - val_mean_absolute_error: 0.0055
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 2.6405e-05 - mean_absolute_error: 0.0035 21/126 [====>.........................] - ETA: 0s - loss: 3.8417e-05 - mean_absolute_error: 0.0046 47/126 [==========>...................] - ETA: 0s - loss: 3.8641e-05 - mean_absolute_error: 0.0047 73/126 [================>.............] - ETA: 0s - loss: 3.7849e-05 - mean_absolute_error: 0.0046 97/126 [======================>.......] - ETA: 0s - loss: 3.7760e-05 - mean_absolute_error: 0.0045124/126 [============================>.] - ETA: 0s - loss: 3.7469e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7457e-05 - mean_absolute_error: 0.0045 - val_loss: 7.7299e-05 - val_mean_absolute_error: 0.0064
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 2.5880e-05 - mean_absolute_error: 0.0042 24/126 [====>.........................] - ETA: 0s - loss: 3.2822e-05 - mean_absolute_error: 0.0043 47/126 [==========>...................] - ETA: 0s - loss: 3.3346e-05 - mean_absolute_error: 0.0043 70/126 [===============>..............] - ETA: 0s - loss: 3.6620e-05 - mean_absolute_error: 0.0045 94/126 [=====================>........] - ETA: 0s - loss: 3.9976e-05 - mean_absolute_error: 0.0048111/126 [=========================>....] - ETA: 0s - loss: 4.0169e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0859e-05 - mean_absolute_error: 0.0048 - val_loss: 6.9587e-05 - val_mean_absolute_error: 0.0059
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 2.0011e-05 - mean_absolute_error: 0.0037 22/126 [====>.........................] - ETA: 0s - loss: 3.5390e-05 - mean_absolute_error: 0.0044 41/126 [========>.....................] - ETA: 0s - loss: 3.3600e-05 - mean_absolute_error: 0.0044 51/126 [===========>..................] - ETA: 0s - loss: 3.4572e-05 - mean_absolute_error: 0.0043 65/126 [==============>...............] - ETA: 0s - loss: 3.4768e-05 - mean_absolute_error: 0.0044 84/126 [===================>..........] - ETA: 0s - loss: 3.4812e-05 - mean_absolute_error: 0.0043110/126 [=========================>....] - ETA: 0s - loss: 3.5739e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.5898e-05 - mean_absolute_error: 0.0044 - val_loss: 6.4612e-05 - val_mean_absolute_error: 0.0055
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 3.0801e-05 - mean_absolute_error: 0.0039 20/126 [===>..........................] - ETA: 0s - loss: 4.1323e-05 - mean_absolute_error: 0.0048 46/126 [=========>....................] - ETA: 0s - loss: 4.0656e-05 - mean_absolute_error: 0.0047 72/126 [================>.............] - ETA: 0s - loss: 3.8988e-05 - mean_absolute_error: 0.0046 96/126 [=====================>........] - ETA: 0s - loss: 3.7730e-05 - mean_absolute_error: 0.0046117/126 [==========================>...] - ETA: 0s - loss: 3.7083e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6942e-05 - mean_absolute_error: 0.0045 - val_loss: 6.7911e-05 - val_mean_absolute_error: 0.0058
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 2.6208e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 3.4998e-05 - mean_absolute_error: 0.0041 47/126 [==========>...................] - ETA: 0s - loss: 3.5097e-05 - mean_absolute_error: 0.0043 73/126 [================>.............] - ETA: 0s - loss: 3.5154e-05 - mean_absolute_error: 0.0043 98/126 [======================>.......] - ETA: 0s - loss: 3.7074e-05 - mean_absolute_error: 0.0045123/126 [============================>.] - ETA: 0s - loss: 3.7164e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7208e-05 - mean_absolute_error: 0.0045 - val_loss: 1.7998e-04 - val_mean_absolute_error: 0.0116
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 7.9832e-05 - mean_absolute_error: 0.0081 18/126 [===>..........................] - ETA: 0s - loss: 5.6065e-05 - mean_absolute_error: 0.0061 40/126 [========>.....................] - ETA: 0s - loss: 5.5084e-05 - mean_absolute_error: 0.0059 61/126 [=============>................] - ETA: 0s - loss: 5.9153e-05 - mean_absolute_error: 0.0060 81/126 [==================>...........] - ETA: 0s - loss: 5.4094e-05 - mean_absolute_error: 0.0057105/126 [========================>.....] - ETA: 0s - loss: 4.8942e-05 - mean_absolute_error: 0.0053126/126 [==============================] - 0s 3ms/step - loss: 4.6695e-05 - mean_absolute_error: 0.0052 - val_loss: 7.3072e-05 - val_mean_absolute_error: 0.0064
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 6.1733e-05 - mean_absolute_error: 0.0055 19/126 [===>..........................] - ETA: 0s - loss: 3.4890e-05 - mean_absolute_error: 0.0044 42/126 [=========>....................] - ETA: 0s - loss: 3.4639e-05 - mean_absolute_error: 0.0044 68/126 [===============>..............] - ETA: 0s - loss: 3.7612e-05 - mean_absolute_error: 0.0046 92/126 [====================>.........] - ETA: 0s - loss: 3.7089e-05 - mean_absolute_error: 0.0045115/126 [==========================>...] - ETA: 0s - loss: 3.7763e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7566e-05 - mean_absolute_error: 0.0046 - val_loss: 7.1831e-05 - val_mean_absolute_error: 0.0063
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 2.1112e-05 - mean_absolute_error: 0.0033 24/126 [====>.........................] - ETA: 0s - loss: 3.8316e-05 - mean_absolute_error: 0.0046 50/126 [==========>...................] - ETA: 0s - loss: 3.6647e-05 - mean_absolute_error: 0.0044 77/126 [=================>............] - ETA: 0s - loss: 4.1646e-05 - mean_absolute_error: 0.0048 94/126 [=====================>........] - ETA: 0s - loss: 4.1726e-05 - mean_absolute_error: 0.0049110/126 [=========================>....] - ETA: 0s - loss: 4.0194e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9571e-05 - mean_absolute_error: 0.0047 - val_loss: 7.0045e-05 - val_mean_absolute_error: 0.0062
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 2.6497e-05 - mean_absolute_error: 0.0035 26/126 [=====>........................] - ETA: 0s - loss: 3.2844e-05 - mean_absolute_error: 0.0043 46/126 [=========>....................] - ETA: 0s - loss: 3.9720e-05 - mean_absolute_error: 0.0048 66/126 [==============>...............] - ETA: 0s - loss: 4.0038e-05 - mean_absolute_error: 0.0048 90/126 [====================>.........] - ETA: 0s - loss: 3.8974e-05 - mean_absolute_error: 0.0047115/126 [==========================>...] - ETA: 0s - loss: 3.9255e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8827e-05 - mean_absolute_error: 0.0047 - val_loss: 6.4226e-05 - val_mean_absolute_error: 0.0056
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 2.3393e-05 - mean_absolute_error: 0.0034 19/126 [===>..........................] - ETA: 0s - loss: 2.9763e-05 - mean_absolute_error: 0.0038 42/126 [=========>....................] - ETA: 0s - loss: 3.3060e-05 - mean_absolute_error: 0.0042 66/126 [==============>...............] - ETA: 0s - loss: 3.7648e-05 - mean_absolute_error: 0.0046 92/126 [====================>.........] - ETA: 0s - loss: 4.5567e-05 - mean_absolute_error: 0.0051117/126 [==========================>...] - ETA: 0s - loss: 4.5981e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.5724e-05 - mean_absolute_error: 0.0051 - val_loss: 8.6445e-05 - val_mean_absolute_error: 0.0073
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 4.0916e-05 - mean_absolute_error: 0.0055 17/126 [===>..........................] - ETA: 0s - loss: 4.4520e-05 - mean_absolute_error: 0.0051 35/126 [=======>......................] - ETA: 0s - loss: 3.9561e-05 - mean_absolute_error: 0.0048 57/126 [============>.................] - ETA: 0s - loss: 3.9869e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 3.8763e-05 - mean_absolute_error: 0.0047 81/126 [==================>...........] - ETA: 0s - loss: 3.7514e-05 - mean_absolute_error: 0.0046 96/126 [=====================>........] - ETA: 0s - loss: 3.8825e-05 - mean_absolute_error: 0.0047115/126 [==========================>...] - ETA: 0s - loss: 3.8703e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8751e-05 - mean_absolute_error: 0.0046 - val_loss: 1.0097e-04 - val_mean_absolute_error: 0.0081
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 6.1572e-05 - mean_absolute_error: 0.0066 22/126 [====>.........................] - ETA: 0s - loss: 4.0078e-05 - mean_absolute_error: 0.0048 46/126 [=========>....................] - ETA: 0s - loss: 4.0687e-05 - mean_absolute_error: 0.0049 72/126 [================>.............] - ETA: 0s - loss: 3.7699e-05 - mean_absolute_error: 0.0046 98/126 [======================>.......] - ETA: 0s - loss: 3.7527e-05 - mean_absolute_error: 0.0046123/126 [============================>.] - ETA: 0s - loss: 3.6709e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.6689e-05 - mean_absolute_error: 0.0045 - val_loss: 6.2709e-05 - val_mean_absolute_error: 0.0054
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 2.8597e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 4.1181e-05 - mean_absolute_error: 0.0048 49/126 [==========>...................] - ETA: 0s - loss: 3.6241e-05 - mean_absolute_error: 0.0045 76/126 [=================>............] - ETA: 0s - loss: 3.4212e-05 - mean_absolute_error: 0.0043101/126 [=======================>......] - ETA: 0s - loss: 3.5824e-05 - mean_absolute_error: 0.0043126/126 [==============================] - ETA: 0s - loss: 3.4510e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 2ms/step - loss: 3.4510e-05 - mean_absolute_error: 0.0043 - val_loss: 6.5619e-05 - val_mean_absolute_error: 0.0057
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 3.3102e-05 - mean_absolute_error: 0.0043 23/126 [====>.........................] - ETA: 0s - loss: 4.1493e-05 - mean_absolute_error: 0.0047 47/126 [==========>...................] - ETA: 0s - loss: 3.9097e-05 - mean_absolute_error: 0.0046 69/126 [===============>..............] - ETA: 0s - loss: 3.9514e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.8933e-05 - mean_absolute_error: 0.0046111/126 [=========================>....] - ETA: 0s - loss: 3.8027e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7199e-05 - mean_absolute_error: 0.0045 - val_loss: 6.6943e-05 - val_mean_absolute_error: 0.0058
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 4.6513e-05 - mean_absolute_error: 0.0054 21/126 [====>.........................] - ETA: 0s - loss: 3.5202e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 3.8514e-05 - mean_absolute_error: 0.0047 70/126 [===============>..............] - ETA: 0s - loss: 3.6739e-05 - mean_absolute_error: 0.0045 95/126 [=====================>........] - ETA: 0s - loss: 4.2259e-05 - mean_absolute_error: 0.0049119/126 [===========================>..] - ETA: 0s - loss: 4.1160e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1124e-05 - mean_absolute_error: 0.0048 - val_loss: 7.0592e-05 - val_mean_absolute_error: 0.0063
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 3.3912e-05 - mean_absolute_error: 0.0045 22/126 [====>.........................] - ETA: 0s - loss: 3.5334e-05 - mean_absolute_error: 0.0045 45/126 [=========>....................] - ETA: 0s - loss: 4.1059e-05 - mean_absolute_error: 0.0048 70/126 [===============>..............] - ETA: 0s - loss: 4.1308e-05 - mean_absolute_error: 0.0048 94/126 [=====================>........] - ETA: 0s - loss: 4.0083e-05 - mean_absolute_error: 0.0047117/126 [==========================>...] - ETA: 0s - loss: 3.8974e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8226e-05 - mean_absolute_error: 0.0047 - val_loss: 6.3009e-05 - val_mean_absolute_error: 0.0056
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 3.6965e-05 - mean_absolute_error: 0.0042 23/126 [====>.........................] - ETA: 0s - loss: 3.1034e-05 - mean_absolute_error: 0.0040 49/126 [==========>...................] - ETA: 0s - loss: 3.3957e-05 - mean_absolute_error: 0.0044 74/126 [================>.............] - ETA: 0s - loss: 3.8751e-05 - mean_absolute_error: 0.0047 90/126 [====================>.........] - ETA: 0s - loss: 4.3008e-05 - mean_absolute_error: 0.0049112/126 [=========================>....] - ETA: 0s - loss: 4.4148e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.3283e-05 - mean_absolute_error: 0.0049 - val_loss: 6.2103e-05 - val_mean_absolute_error: 0.0054
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 3.2838e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 4.3294e-05 - mean_absolute_error: 0.0050 48/126 [==========>...................] - ETA: 0s - loss: 3.8037e-05 - mean_absolute_error: 0.0047 71/126 [===============>..............] - ETA: 0s - loss: 3.5041e-05 - mean_absolute_error: 0.0044 97/126 [======================>.......] - ETA: 0s - loss: 3.6189e-05 - mean_absolute_error: 0.0045122/126 [============================>.] - ETA: 0s - loss: 3.6769e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.6472e-05 - mean_absolute_error: 0.0045 - val_loss: 6.5193e-05 - val_mean_absolute_error: 0.0059
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 2.2765e-05 - mean_absolute_error: 0.0035 22/126 [====>.........................] - ETA: 0s - loss: 3.8591e-05 - mean_absolute_error: 0.0045 41/126 [========>.....................] - ETA: 0s - loss: 3.6151e-05 - mean_absolute_error: 0.0043 55/126 [============>.................] - ETA: 0s - loss: 3.5271e-05 - mean_absolute_error: 0.0043 70/126 [===============>..............] - ETA: 0s - loss: 3.4372e-05 - mean_absolute_error: 0.0042 91/126 [====================>.........] - ETA: 0s - loss: 3.4213e-05 - mean_absolute_error: 0.0042113/126 [=========================>....] - ETA: 0s - loss: 3.5187e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6497e-05 - mean_absolute_error: 0.0044 - val_loss: 9.2037e-05 - val_mean_absolute_error: 0.0077
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 5.9956e-05 - mean_absolute_error: 0.0066 22/126 [====>.........................] - ETA: 0s - loss: 3.4720e-05 - mean_absolute_error: 0.0043 45/126 [=========>....................] - ETA: 0s - loss: 3.3169e-05 - mean_absolute_error: 0.0042 65/126 [==============>...............] - ETA: 0s - loss: 3.7199e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.7109e-05 - mean_absolute_error: 0.0045108/126 [========================>.....] - ETA: 0s - loss: 3.8645e-05 - mean_absolute_error: 0.0046125/126 [============================>.] - ETA: 0s - loss: 3.8895e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8882e-05 - mean_absolute_error: 0.0047 - val_loss: 8.3243e-05 - val_mean_absolute_error: 0.0072
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 4.3641e-05 - mean_absolute_error: 0.0057 23/126 [====>.........................] - ETA: 0s - loss: 3.0528e-05 - mean_absolute_error: 0.0041 48/126 [==========>...................] - ETA: 0s - loss: 3.1511e-05 - mean_absolute_error: 0.0042 74/126 [================>.............] - ETA: 0s - loss: 3.6822e-05 - mean_absolute_error: 0.0046 99/126 [======================>.......] - ETA: 0s - loss: 4.0330e-05 - mean_absolute_error: 0.0048124/126 [============================>.] - ETA: 0s - loss: 4.1539e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 2ms/step - loss: 4.1605e-05 - mean_absolute_error: 0.0050 - val_loss: 1.8420e-04 - val_mean_absolute_error: 0.0115
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 1.7500e-04 - mean_absolute_error: 0.0121 23/126 [====>.........................] - ETA: 0s - loss: 7.5931e-05 - mean_absolute_error: 0.0071 47/126 [==========>...................] - ETA: 0s - loss: 6.4349e-05 - mean_absolute_error: 0.0065 72/126 [================>.............] - ETA: 0s - loss: 5.4843e-05 - mean_absolute_error: 0.0059 97/126 [======================>.......] - ETA: 0s - loss: 5.3898e-05 - mean_absolute_error: 0.0058122/126 [============================>.] - ETA: 0s - loss: 5.1755e-05 - mean_absolute_error: 0.0057126/126 [==============================] - 0s 2ms/step - loss: 5.1047e-05 - mean_absolute_error: 0.0056 - val_loss: 7.4790e-05 - val_mean_absolute_error: 0.0066
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 3.1297e-05 - mean_absolute_error: 0.0046 23/126 [====>.........................] - ETA: 0s - loss: 3.2293e-05 - mean_absolute_error: 0.0042 46/126 [=========>....................] - ETA: 0s - loss: 3.1755e-05 - mean_absolute_error: 0.0042 69/126 [===============>..............] - ETA: 0s - loss: 3.7089e-05 - mean_absolute_error: 0.0046 94/126 [=====================>........] - ETA: 0s - loss: 4.0613e-05 - mean_absolute_error: 0.0048119/126 [===========================>..] - ETA: 0s - loss: 4.0111e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.9859e-05 - mean_absolute_error: 0.0048 - val_loss: 7.6561e-05 - val_mean_absolute_error: 0.0067
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 5.1696e-05 - mean_absolute_error: 0.0050 21/126 [====>.........................] - ETA: 0s - loss: 3.5746e-05 - mean_absolute_error: 0.0044 41/126 [========>.....................] - ETA: 0s - loss: 3.5571e-05 - mean_absolute_error: 0.0044 59/126 [=============>................] - ETA: 0s - loss: 3.8308e-05 - mean_absolute_error: 0.0046 81/126 [==================>...........] - ETA: 0s - loss: 3.8663e-05 - mean_absolute_error: 0.0046106/126 [========================>.....] - ETA: 0s - loss: 4.2771e-05 - mean_absolute_error: 0.0050124/126 [============================>.] - ETA: 0s - loss: 4.4461e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.4548e-05 - mean_absolute_error: 0.0051 - val_loss: 1.2836e-04 - val_mean_absolute_error: 0.0095
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 6.5074e-05 - mean_absolute_error: 0.0072 25/126 [====>.........................] - ETA: 0s - loss: 4.8469e-05 - mean_absolute_error: 0.0055 51/126 [===========>..................] - ETA: 0s - loss: 4.0138e-05 - mean_absolute_error: 0.0048 73/126 [================>.............] - ETA: 0s - loss: 4.1267e-05 - mean_absolute_error: 0.0049 98/126 [======================>.......] - ETA: 0s - loss: 3.8640e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 3.8791e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 2ms/step - loss: 3.8711e-05 - mean_absolute_error: 0.0047 - val_loss: 7.7376e-05 - val_mean_absolute_error: 0.0068
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 4.1356e-05 - mean_absolute_error: 0.0052 19/126 [===>..........................] - ETA: 0s - loss: 3.5207e-05 - mean_absolute_error: 0.0044 42/126 [=========>....................] - ETA: 0s - loss: 3.4212e-05 - mean_absolute_error: 0.0042 60/126 [=============>................] - ETA: 0s - loss: 3.6300e-05 - mean_absolute_error: 0.0044 75/126 [================>.............] - ETA: 0s - loss: 3.7608e-05 - mean_absolute_error: 0.0046 98/126 [======================>.......] - ETA: 0s - loss: 3.8534e-05 - mean_absolute_error: 0.0047118/126 [===========================>..] - ETA: 0s - loss: 3.7347e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7120e-05 - mean_absolute_error: 0.0045 - val_loss: 6.0468e-05 - val_mean_absolute_error: 0.0053
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 2.4506e-05 - mean_absolute_error: 0.0031 19/126 [===>..........................] - ETA: 0s - loss: 3.2047e-05 - mean_absolute_error: 0.0040 40/126 [========>.....................] - ETA: 0s - loss: 3.1989e-05 - mean_absolute_error: 0.0041 66/126 [==============>...............] - ETA: 0s - loss: 3.9014e-05 - mean_absolute_error: 0.0046 89/126 [====================>.........] - ETA: 0s - loss: 4.5478e-05 - mean_absolute_error: 0.0051114/126 [==========================>...] - ETA: 0s - loss: 4.4696e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.3697e-05 - mean_absolute_error: 0.0050 - val_loss: 6.5063e-05 - val_mean_absolute_error: 0.0059
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 2.1004e-05 - mean_absolute_error: 0.0031 24/126 [====>.........................] - ETA: 0s - loss: 3.8514e-05 - mean_absolute_error: 0.0046 51/126 [===========>..................] - ETA: 0s - loss: 3.5822e-05 - mean_absolute_error: 0.0044 77/126 [=================>............] - ETA: 0s - loss: 3.4679e-05 - mean_absolute_error: 0.0044102/126 [=======================>......] - ETA: 0s - loss: 3.5849e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.7714e-05 - mean_absolute_error: 0.0046 - val_loss: 6.2111e-05 - val_mean_absolute_error: 0.0055
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.9953e-05 - mean_absolute_error: 0.0034 19/126 [===>..........................] - ETA: 0s - loss: 3.2740e-05 - mean_absolute_error: 0.0042 41/126 [========>.....................] - ETA: 0s - loss: 3.7314e-05 - mean_absolute_error: 0.0046 67/126 [==============>...............] - ETA: 0s - loss: 3.8231e-05 - mean_absolute_error: 0.0048 93/126 [=====================>........] - ETA: 0s - loss: 3.9288e-05 - mean_absolute_error: 0.0048119/126 [===========================>..] - ETA: 0s - loss: 4.0812e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0737e-05 - mean_absolute_error: 0.0049 - val_loss: 6.4860e-05 - val_mean_absolute_error: 0.0057
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 3.2709e-05 - mean_absolute_error: 0.0045 19/126 [===>..........................] - ETA: 0s - loss: 3.7700e-05 - mean_absolute_error: 0.0046 41/126 [========>.....................] - ETA: 0s - loss: 3.8522e-05 - mean_absolute_error: 0.0048 68/126 [===============>..............] - ETA: 0s - loss: 3.6553e-05 - mean_absolute_error: 0.0045 94/126 [=====================>........] - ETA: 0s - loss: 3.6528e-05 - mean_absolute_error: 0.0045118/126 [===========================>..] - ETA: 0s - loss: 3.5860e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.5433e-05 - mean_absolute_error: 0.0044 - val_loss: 6.0483e-05 - val_mean_absolute_error: 0.0053
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 2.3640e-05 - mean_absolute_error: 0.0035 20/126 [===>..........................] - ETA: 0s - loss: 3.3805e-05 - mean_absolute_error: 0.0042 43/126 [=========>....................] - ETA: 0s - loss: 3.3657e-05 - mean_absolute_error: 0.0042 70/126 [===============>..............] - ETA: 0s - loss: 3.5467e-05 - mean_absolute_error: 0.0043 95/126 [=====================>........] - ETA: 0s - loss: 3.6832e-05 - mean_absolute_error: 0.0045122/126 [============================>.] - ETA: 0s - loss: 3.6371e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 2ms/step - loss: 3.5946e-05 - mean_absolute_error: 0.0044 - val_loss: 5.9785e-05 - val_mean_absolute_error: 0.0053
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 3.0001e-05 - mean_absolute_error: 0.0039 19/126 [===>..........................] - ETA: 0s - loss: 3.1228e-05 - mean_absolute_error: 0.0040 46/126 [=========>....................] - ETA: 0s - loss: 3.2857e-05 - mean_absolute_error: 0.0042 70/126 [===============>..............] - ETA: 0s - loss: 3.3098e-05 - mean_absolute_error: 0.0042 95/126 [=====================>........] - ETA: 0s - loss: 3.5518e-05 - mean_absolute_error: 0.0044122/126 [============================>.] - ETA: 0s - loss: 3.8271e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 2ms/step - loss: 3.8727e-05 - mean_absolute_error: 0.0046 - val_loss: 9.7828e-05 - val_mean_absolute_error: 0.0080
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 5.0131e-05 - mean_absolute_error: 0.0061 25/126 [====>.........................] - ETA: 0s - loss: 6.5886e-05 - mean_absolute_error: 0.0066 51/126 [===========>..................] - ETA: 0s - loss: 5.0349e-05 - mean_absolute_error: 0.0056 76/126 [=================>............] - ETA: 0s - loss: 4.5728e-05 - mean_absolute_error: 0.0052100/126 [======================>.......] - ETA: 0s - loss: 4.2732e-05 - mean_absolute_error: 0.0050125/126 [============================>.] - ETA: 0s - loss: 4.1911e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 2ms/step - loss: 4.2062e-05 - mean_absolute_error: 0.0049 - val_loss: 1.3613e-04 - val_mean_absolute_error: 0.0095
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 9.5535e-05 - mean_absolute_error: 0.0080 25/126 [====>.........................] - ETA: 0s - loss: 3.9800e-05 - mean_absolute_error: 0.0048 50/126 [==========>...................] - ETA: 0s - loss: 3.8792e-05 - mean_absolute_error: 0.0048 76/126 [=================>............] - ETA: 0s - loss: 3.6344e-05 - mean_absolute_error: 0.0045101/126 [=======================>......] - ETA: 0s - loss: 3.5982e-05 - mean_absolute_error: 0.0044125/126 [============================>.] - ETA: 0s - loss: 3.5742e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 2ms/step - loss: 3.5714e-05 - mean_absolute_error: 0.0044 - val_loss: 5.9075e-05 - val_mean_absolute_error: 0.0052
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 3.9478e-05 - mean_absolute_error: 0.0045 21/126 [====>.........................] - ETA: 0s - loss: 2.9508e-05 - mean_absolute_error: 0.0040 47/126 [==========>...................] - ETA: 0s - loss: 3.3915e-05 - mean_absolute_error: 0.0043 72/126 [================>.............] - ETA: 0s - loss: 3.3361e-05 - mean_absolute_error: 0.0042 98/126 [======================>.......] - ETA: 0s - loss: 3.4443e-05 - mean_absolute_error: 0.0043124/126 [============================>.] - ETA: 0s - loss: 3.5698e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 2ms/step - loss: 3.5692e-05 - mean_absolute_error: 0.0044 - val_loss: 5.9031e-05 - val_mean_absolute_error: 0.0053
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 2.0718e-05 - mean_absolute_error: 0.0032 19/126 [===>..........................] - ETA: 0s - loss: 3.5651e-05 - mean_absolute_error: 0.0043 42/126 [=========>....................] - ETA: 0s - loss: 3.7241e-05 - mean_absolute_error: 0.0045 69/126 [===============>..............] - ETA: 0s - loss: 3.7032e-05 - mean_absolute_error: 0.0045 95/126 [=====================>........] - ETA: 0s - loss: 3.7113e-05 - mean_absolute_error: 0.0046118/126 [===========================>..] - ETA: 0s - loss: 3.6986e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8947e-05 - mean_absolute_error: 0.0047 - val_loss: 5.9806e-05 - val_mean_absolute_error: 0.0054
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 2.2024e-05 - mean_absolute_error: 0.0035 24/126 [====>.........................] - ETA: 0s - loss: 4.4882e-05 - mean_absolute_error: 0.0052 49/126 [==========>...................] - ETA: 0s - loss: 4.0035e-05 - mean_absolute_error: 0.0048 75/126 [================>.............] - ETA: 0s - loss: 3.7472e-05 - mean_absolute_error: 0.0047100/126 [======================>.......] - ETA: 0s - loss: 3.7335e-05 - mean_absolute_error: 0.0046126/126 [==============================] - ETA: 0s - loss: 3.6435e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.6435e-05 - mean_absolute_error: 0.0045 - val_loss: 5.7882e-05 - val_mean_absolute_error: 0.0050
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 3.1673e-05 - mean_absolute_error: 0.0033 22/126 [====>.........................] - ETA: 0s - loss: 3.2369e-05 - mean_absolute_error: 0.0042 48/126 [==========>...................] - ETA: 0s - loss: 3.7991e-05 - mean_absolute_error: 0.0047 74/126 [================>.............] - ETA: 0s - loss: 3.7183e-05 - mean_absolute_error: 0.0046101/126 [=======================>......] - ETA: 0s - loss: 3.7197e-05 - mean_absolute_error: 0.0046125/126 [============================>.] - ETA: 0s - loss: 3.8529e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 2ms/step - loss: 3.8542e-05 - mean_absolute_error: 0.0047 - val_loss: 5.8722e-05 - val_mean_absolute_error: 0.0052
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 4.8257e-05 - mean_absolute_error: 0.0043 19/126 [===>..........................] - ETA: 0s - loss: 3.5233e-05 - mean_absolute_error: 0.0042 43/126 [=========>....................] - ETA: 0s - loss: 3.5790e-05 - mean_absolute_error: 0.0041 69/126 [===============>..............] - ETA: 0s - loss: 3.3877e-05 - mean_absolute_error: 0.0040 85/126 [===================>..........] - ETA: 0s - loss: 3.3825e-05 - mean_absolute_error: 0.0041105/126 [========================>.....] - ETA: 0s - loss: 3.4272e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.3847e-05 - mean_absolute_error: 0.0042 - val_loss: 7.1802e-05 - val_mean_absolute_error: 0.0065
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 5.7611e-05 - mean_absolute_error: 0.0061 24/126 [====>.........................] - ETA: 0s - loss: 3.1577e-05 - mean_absolute_error: 0.0041 48/126 [==========>...................] - ETA: 0s - loss: 3.6118e-05 - mean_absolute_error: 0.0043 71/126 [===============>..............] - ETA: 0s - loss: 3.8641e-05 - mean_absolute_error: 0.0046 96/126 [=====================>........] - ETA: 0s - loss: 3.9313e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 4.0269e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 2ms/step - loss: 4.0710e-05 - mean_absolute_error: 0.0049 - val_loss: 7.9940e-05 - val_mean_absolute_error: 0.0070
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 4.8773e-05 - mean_absolute_error: 0.0059 25/126 [====>.........................] - ETA: 0s - loss: 4.5615e-05 - mean_absolute_error: 0.0053 52/126 [===========>..................] - ETA: 0s - loss: 4.0545e-05 - mean_absolute_error: 0.0049 79/126 [=================>............] - ETA: 0s - loss: 3.8778e-05 - mean_absolute_error: 0.0047106/126 [========================>.....] - ETA: 0s - loss: 4.0592e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 2ms/step - loss: 3.9405e-05 - mean_absolute_error: 0.0048 - val_loss: 9.7735e-05 - val_mean_absolute_error: 0.0077
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 7.1272e-05 - mean_absolute_error: 0.0070 23/126 [====>.........................] - ETA: 0s - loss: 4.6058e-05 - mean_absolute_error: 0.0053 50/126 [==========>...................] - ETA: 0s - loss: 3.9013e-05 - mean_absolute_error: 0.0048 76/126 [=================>............] - ETA: 0s - loss: 3.7017e-05 - mean_absolute_error: 0.0046100/126 [======================>.......] - ETA: 0s - loss: 3.6510e-05 - mean_absolute_error: 0.0045123/126 [============================>.] - ETA: 0s - loss: 3.6682e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.6574e-05 - mean_absolute_error: 0.0045 - val_loss: 9.4091e-05 - val_mean_absolute_error: 0.0079
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 7.4644e-05 - mean_absolute_error: 0.0072 25/126 [====>.........................] - ETA: 0s - loss: 3.6500e-05 - mean_absolute_error: 0.0046 50/126 [==========>...................] - ETA: 0s - loss: 4.7437e-05 - mean_absolute_error: 0.0052 74/126 [================>.............] - ETA: 0s - loss: 4.5045e-05 - mean_absolute_error: 0.0051 97/126 [======================>.......] - ETA: 0s - loss: 4.1576e-05 - mean_absolute_error: 0.0049113/126 [=========================>....] - ETA: 0s - loss: 4.0470e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.9418e-05 - mean_absolute_error: 0.0047 - val_loss: 5.7693e-05 - val_mean_absolute_error: 0.0051
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 3.9677e-05 - mean_absolute_error: 0.0042 26/126 [=====>........................] - ETA: 0s - loss: 3.5403e-05 - mean_absolute_error: 0.0042 51/126 [===========>..................] - ETA: 0s - loss: 3.5847e-05 - mean_absolute_error: 0.0043 77/126 [=================>............] - ETA: 0s - loss: 3.5397e-05 - mean_absolute_error: 0.0043104/126 [=======================>......] - ETA: 0s - loss: 3.3542e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 2ms/step - loss: 3.5752e-05 - mean_absolute_error: 0.0044 - val_loss: 1.1425e-04 - val_mean_absolute_error: 0.0085
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 5.1416e-05 - mean_absolute_error: 0.0061 20/126 [===>..........................] - ETA: 0s - loss: 4.7549e-05 - mean_absolute_error: 0.0055 39/126 [========>.....................] - ETA: 0s - loss: 4.1789e-05 - mean_absolute_error: 0.0050 63/126 [==============>...............] - ETA: 0s - loss: 4.0538e-05 - mean_absolute_error: 0.0049 88/126 [===================>..........] - ETA: 0s - loss: 4.0121e-05 - mean_absolute_error: 0.0047113/126 [=========================>....] - ETA: 0s - loss: 3.8488e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8827e-05 - mean_absolute_error: 0.0047 - val_loss: 6.1797e-05 - val_mean_absolute_error: 0.0057
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 3.4187e-05 - mean_absolute_error: 0.0045 24/126 [====>.........................] - ETA: 0s - loss: 4.2805e-05 - mean_absolute_error: 0.0049 44/126 [=========>....................] - ETA: 0s - loss: 3.9000e-05 - mean_absolute_error: 0.0046 58/126 [============>.................] - ETA: 0s - loss: 3.7269e-05 - mean_absolute_error: 0.0045 78/126 [=================>............] - ETA: 0s - loss: 3.7399e-05 - mean_absolute_error: 0.0046101/126 [=======================>......] - ETA: 0s - loss: 4.0758e-05 - mean_absolute_error: 0.0048123/126 [============================>.] - ETA: 0s - loss: 4.0395e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0200e-05 - mean_absolute_error: 0.0048 - val_loss: 6.0132e-05 - val_mean_absolute_error: 0.0056
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 5.6809e-05 - mean_absolute_error: 0.0055 23/126 [====>.........................] - ETA: 0s - loss: 3.7032e-05 - mean_absolute_error: 0.0045 48/126 [==========>...................] - ETA: 0s - loss: 3.4196e-05 - mean_absolute_error: 0.0043 75/126 [================>.............] - ETA: 0s - loss: 3.4683e-05 - mean_absolute_error: 0.0043102/126 [=======================>......] - ETA: 0s - loss: 3.3387e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 2ms/step - loss: 3.6142e-05 - mean_absolute_error: 0.0044 - val_loss: 7.8865e-05 - val_mean_absolute_error: 0.0070
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 4.4509e-05 - mean_absolute_error: 0.0056 22/126 [====>.........................] - ETA: 0s - loss: 3.6799e-05 - mean_absolute_error: 0.0047 42/126 [=========>....................] - ETA: 0s - loss: 4.0656e-05 - mean_absolute_error: 0.0049 66/126 [==============>...............] - ETA: 0s - loss: 3.7173e-05 - mean_absolute_error: 0.0046 90/126 [====================>.........] - ETA: 0s - loss: 3.6187e-05 - mean_absolute_error: 0.0045115/126 [==========================>...] - ETA: 0s - loss: 3.5872e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.5749e-05 - mean_absolute_error: 0.0045 - val_loss: 6.7452e-05 - val_mean_absolute_error: 0.0060
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 2.8700e-05 - mean_absolute_error: 0.0042 26/126 [=====>........................] - ETA: 0s - loss: 4.3540e-05 - mean_absolute_error: 0.0050 52/126 [===========>..................] - ETA: 0s - loss: 3.8776e-05 - mean_absolute_error: 0.0047 79/126 [=================>............] - ETA: 0s - loss: 3.5514e-05 - mean_absolute_error: 0.0044106/126 [========================>.....] - ETA: 0s - loss: 3.6003e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 2ms/step - loss: 3.5603e-05 - mean_absolute_error: 0.0044 - val_loss: 6.3644e-05 - val_mean_absolute_error: 0.0059
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 2.6801e-05 - mean_absolute_error: 0.0040 23/126 [====>.........................] - ETA: 0s - loss: 5.1991e-05 - mean_absolute_error: 0.0057 44/126 [=========>....................] - ETA: 0s - loss: 4.7110e-05 - mean_absolute_error: 0.0052 67/126 [==============>...............] - ETA: 0s - loss: 4.2242e-05 - mean_absolute_error: 0.0049 93/126 [=====================>........] - ETA: 0s - loss: 3.8640e-05 - mean_absolute_error: 0.0046117/126 [==========================>...] - ETA: 0s - loss: 3.6763e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6499e-05 - mean_absolute_error: 0.0045 - val_loss: 6.8221e-05 - val_mean_absolute_error: 0.0063
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 3.7913e-05 - mean_absolute_error: 0.0050 20/126 [===>..........................] - ETA: 0s - loss: 3.6701e-05 - mean_absolute_error: 0.0047 39/126 [========>.....................] - ETA: 0s - loss: 3.8591e-05 - mean_absolute_error: 0.0048 57/126 [============>.................] - ETA: 0s - loss: 3.6497e-05 - mean_absolute_error: 0.0047 77/126 [=================>............] - ETA: 0s - loss: 3.6921e-05 - mean_absolute_error: 0.0047 97/126 [======================>.......] - ETA: 0s - loss: 3.7094e-05 - mean_absolute_error: 0.0047119/126 [===========================>..] - ETA: 0s - loss: 4.0369e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0189e-05 - mean_absolute_error: 0.0049 - val_loss: 5.7241e-05 - val_mean_absolute_error: 0.0053
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 2.5389e-05 - mean_absolute_error: 0.0035 22/126 [====>.........................] - ETA: 0s - loss: 2.9293e-05 - mean_absolute_error: 0.0040 43/126 [=========>....................] - ETA: 0s - loss: 3.5551e-05 - mean_absolute_error: 0.0043 63/126 [==============>...............] - ETA: 0s - loss: 4.1499e-05 - mean_absolute_error: 0.0049 82/126 [==================>...........] - ETA: 0s - loss: 4.1041e-05 - mean_absolute_error: 0.0048101/126 [=======================>......] - ETA: 0s - loss: 4.1176e-05 - mean_absolute_error: 0.0048120/126 [===========================>..] - ETA: 0s - loss: 4.0512e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0525e-05 - mean_absolute_error: 0.0048 - val_loss: 1.0545e-04 - val_mean_absolute_error: 0.0085
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 6.2275e-05 - mean_absolute_error: 0.0070 21/126 [====>.........................] - ETA: 0s - loss: 3.9467e-05 - mean_absolute_error: 0.0049 43/126 [=========>....................] - ETA: 0s - loss: 3.8759e-05 - mean_absolute_error: 0.0047 63/126 [==============>...............] - ETA: 0s - loss: 3.7361e-05 - mean_absolute_error: 0.0046 84/126 [===================>..........] - ETA: 0s - loss: 3.5953e-05 - mean_absolute_error: 0.0045108/126 [========================>.....] - ETA: 0s - loss: 3.5421e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.4792e-05 - mean_absolute_error: 0.0044 - val_loss: 5.7054e-05 - val_mean_absolute_error: 0.0052
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 3.1183e-05 - mean_absolute_error: 0.0038 20/126 [===>..........................] - ETA: 0s - loss: 3.3707e-05 - mean_absolute_error: 0.0042 44/126 [=========>....................] - ETA: 0s - loss: 3.2894e-05 - mean_absolute_error: 0.0042 68/126 [===============>..............] - ETA: 0s - loss: 3.6555e-05 - mean_absolute_error: 0.0045 92/126 [====================>.........] - ETA: 0s - loss: 3.5037e-05 - mean_absolute_error: 0.0044117/126 [==========================>...] - ETA: 0s - loss: 3.7417e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.6953e-05 - mean_absolute_error: 0.0046 - val_loss: 6.5880e-05 - val_mean_absolute_error: 0.0062
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 4.5930e-05 - mean_absolute_error: 0.0052 19/126 [===>..........................] - ETA: 0s - loss: 3.9368e-05 - mean_absolute_error: 0.0047 40/126 [========>.....................] - ETA: 0s - loss: 3.9539e-05 - mean_absolute_error: 0.0047 63/126 [==============>...............] - ETA: 0s - loss: 3.8457e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.5997e-05 - mean_absolute_error: 0.0045114/126 [==========================>...] - ETA: 0s - loss: 3.5811e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.5192e-05 - mean_absolute_error: 0.0044 - val_loss: 8.2066e-05 - val_mean_absolute_error: 0.0072
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 6.8853e-05 - mean_absolute_error: 0.0065 22/126 [====>.........................] - ETA: 0s - loss: 4.7492e-05 - mean_absolute_error: 0.0054 47/126 [==========>...................] - ETA: 0s - loss: 5.0147e-05 - mean_absolute_error: 0.0056 74/126 [================>.............] - ETA: 0s - loss: 4.5334e-05 - mean_absolute_error: 0.0052101/126 [=======================>......] - ETA: 0s - loss: 4.2750e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 2ms/step - loss: 4.1223e-05 - mean_absolute_error: 0.0049 - val_loss: 5.4799e-05 - val_mean_absolute_error: 0.0049
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 4.9134e-05 - mean_absolute_error: 0.0047 20/126 [===>..........................] - ETA: 0s - loss: 3.3036e-05 - mean_absolute_error: 0.0041 43/126 [=========>....................] - ETA: 0s - loss: 4.0636e-05 - mean_absolute_error: 0.0048 65/126 [==============>...............] - ETA: 0s - loss: 4.0534e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 3.9878e-05 - mean_absolute_error: 0.0048114/126 [==========================>...] - ETA: 0s - loss: 3.8077e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.7235e-05 - mean_absolute_error: 0.0046 - val_loss: 5.5554e-05 - val_mean_absolute_error: 0.0051

<keras.src.callbacks.History at 0x253bec67d50>

After the training and fitting of the Machine Learning model for the United Kingdom, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for United Kingdom with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
united_kingdom_train_pred = united_kingdom_model.predict(X_united_kingdom_train).flatten()

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Training Set Predictions vs. Observations")
plt.show()

united_kingdom_val_pred = united_kingdom_model.predict(X_united_kingdom_val).flatten()

plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Validation Set Predictions vs. Observations")
plt.show()

united_kingdom_test_pred = united_kingdom_model.predict(X_united_kingdom_test).flatten()

plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 39s 36/126 [=======>......................] - ETA: 0s  79/126 [=================>............] - ETA: 0s126/126 [==============================] - ETA: 0s126/126 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 1ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting the United Kingdom’s international currency rate with the United States.

```{python}
# Plotting United Kingdom's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of United Kingdom's Dataset - Predictions vs. Observations")
plt.show()
```

Lastly, I worked on Switzerland’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Switzerland’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Switzerland's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_switzerland_train, X_switzerland_train, y_switzerland_train = dates_switzerland[:percentile_80], X_switzerland[:percentile_80], y_switzerland[:percentile_80]
dates_switzerland_val, X_switzerland_val, y_switzerland_val = dates_switzerland[percentile_80:percentile_90], X_switzerland[percentile_80:percentile_90], y_switzerland[percentile_80:percentile_90]
dates_switzerland_test, X_switzerland_test, y_switzerland_test = dates_switzerland[percentile_90:], X_switzerland[percentile_90:], y_switzerland[percentile_90:]

plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Switzerland's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Switzerland
switzerland_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

switzerland_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

switzerland_model.fit(X_switzerland_train, y_switzerland_train, validation_data=(X_switzerland_val, y_switzerland_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:32 - loss: 1.5849 - mean_absolute_error: 1.2320 19/126 [===>..........................] - ETA: 0s - loss: 1.2376 - mean_absolute_error: 1.0823   44/126 [=========>....................] - ETA: 0s - loss: 0.7967 - mean_absolute_error: 0.8040 69/126 [===============>..............] - ETA: 0s - loss: 0.5157 - mean_absolute_error: 0.5566 95/126 [=====================>........] - ETA: 0s - loss: 0.3761 - mean_absolute_error: 0.4210120/126 [===========================>..] - ETA: 0s - loss: 0.2985 - mean_absolute_error: 0.3437126/126 [==============================] - 2s 5ms/step - loss: 0.2858 - mean_absolute_error: 0.3308 - val_loss: 0.0016 - val_mean_absolute_error: 0.0398
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0044 - mean_absolute_error: 0.0569 25/126 [====>.........................] - ETA: 0s - loss: 0.0027 - mean_absolute_error: 0.0441 51/126 [===========>..................] - ETA: 0s - loss: 0.0023 - mean_absolute_error: 0.0399 77/126 [=================>............] - ETA: 0s - loss: 0.0020 - mean_absolute_error: 0.0370103/126 [=======================>......] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0342126/126 [==============================] - 0s 2ms/step - loss: 0.0016 - mean_absolute_error: 0.0321 - val_loss: 5.0680e-04 - val_mean_absolute_error: 0.0213
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 5.6000e-04 - mean_absolute_error: 0.0191 24/126 [====>.........................] - ETA: 0s - loss: 5.4169e-04 - mean_absolute_error: 0.0189 48/126 [==========>...................] - ETA: 0s - loss: 4.5086e-04 - mean_absolute_error: 0.0173 72/126 [================>.............] - ETA: 0s - loss: 4.1145e-04 - mean_absolute_error: 0.0163 96/126 [=====================>........] - ETA: 0s - loss: 3.7545e-04 - mean_absolute_error: 0.0155121/126 [===========================>..] - ETA: 0s - loss: 3.3967e-04 - mean_absolute_error: 0.0146126/126 [==============================] - 0s 2ms/step - loss: 3.3441e-04 - mean_absolute_error: 0.0145 - val_loss: 6.8742e-05 - val_mean_absolute_error: 0.0067
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 1.5884e-04 - mean_absolute_error: 0.0100 25/126 [====>.........................] - ETA: 0s - loss: 2.0071e-04 - mean_absolute_error: 0.0105 51/126 [===========>..................] - ETA: 0s - loss: 1.8260e-04 - mean_absolute_error: 0.0104 76/126 [=================>............] - ETA: 0s - loss: 1.7567e-04 - mean_absolute_error: 0.0102101/126 [=======================>......] - ETA: 0s - loss: 1.6773e-04 - mean_absolute_error: 0.0100126/126 [==============================] - ETA: 0s - loss: 1.7206e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 2ms/step - loss: 1.7206e-04 - mean_absolute_error: 0.0100 - val_loss: 5.5183e-05 - val_mean_absolute_error: 0.0059
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.7630e-04 - mean_absolute_error: 0.0099 21/126 [====>.........................] - ETA: 0s - loss: 1.8909e-04 - mean_absolute_error: 0.0099 44/126 [=========>....................] - ETA: 0s - loss: 1.7398e-04 - mean_absolute_error: 0.0097 69/126 [===============>..............] - ETA: 0s - loss: 1.6931e-04 - mean_absolute_error: 0.0098 93/126 [=====================>........] - ETA: 0s - loss: 1.6542e-04 - mean_absolute_error: 0.0097118/126 [===========================>..] - ETA: 0s - loss: 1.6802e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 2ms/step - loss: 1.6712e-04 - mean_absolute_error: 0.0098 - val_loss: 5.3559e-05 - val_mean_absolute_error: 0.0058
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.7004e-04 - mean_absolute_error: 0.0102 24/126 [====>.........................] - ETA: 0s - loss: 1.5589e-04 - mean_absolute_error: 0.0095 51/126 [===========>..................] - ETA: 0s - loss: 1.7251e-04 - mean_absolute_error: 0.0098 75/126 [================>.............] - ETA: 0s - loss: 1.7385e-04 - mean_absolute_error: 0.0098 98/126 [======================>.......] - ETA: 0s - loss: 1.6895e-04 - mean_absolute_error: 0.0098123/126 [============================>.] - ETA: 0s - loss: 1.6544e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6532e-04 - mean_absolute_error: 0.0097 - val_loss: 5.1183e-05 - val_mean_absolute_error: 0.0056
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 0.0012 - mean_absolute_error: 0.0159 26/126 [=====>........................] - ETA: 0s - loss: 1.9557e-04 - mean_absolute_error: 0.0099 53/126 [===========>..................] - ETA: 0s - loss: 1.8273e-04 - mean_absolute_error: 0.0099 80/126 [==================>...........] - ETA: 0s - loss: 1.7447e-04 - mean_absolute_error: 0.0099107/126 [========================>.....] - ETA: 0s - loss: 1.6852e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6969e-04 - mean_absolute_error: 0.0098 - val_loss: 5.1323e-05 - val_mean_absolute_error: 0.0056
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 6.0256e-04 - mean_absolute_error: 0.0128 20/126 [===>..........................] - ETA: 0s - loss: 1.9932e-04 - mean_absolute_error: 0.0101 46/126 [=========>....................] - ETA: 0s - loss: 1.7688e-04 - mean_absolute_error: 0.0100 73/126 [================>.............] - ETA: 0s - loss: 1.6319e-04 - mean_absolute_error: 0.0096100/126 [======================>.......] - ETA: 0s - loss: 1.6319e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6316e-04 - mean_absolute_error: 0.0096 - val_loss: 4.9631e-05 - val_mean_absolute_error: 0.0055
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.2360e-04 - mean_absolute_error: 0.0089 20/126 [===>..........................] - ETA: 0s - loss: 1.5160e-04 - mean_absolute_error: 0.0096 44/126 [=========>....................] - ETA: 0s - loss: 1.5695e-04 - mean_absolute_error: 0.0097 71/126 [===============>..............] - ETA: 0s - loss: 1.6033e-04 - mean_absolute_error: 0.0098 97/126 [======================>.......] - ETA: 0s - loss: 1.6897e-04 - mean_absolute_error: 0.0098124/126 [============================>.] - ETA: 0s - loss: 1.6463e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6559e-04 - mean_absolute_error: 0.0097 - val_loss: 5.3485e-05 - val_mean_absolute_error: 0.0058
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.9860e-04 - mean_absolute_error: 0.0112 21/126 [====>.........................] - ETA: 0s - loss: 1.5198e-04 - mean_absolute_error: 0.0094 48/126 [==========>...................] - ETA: 0s - loss: 1.5350e-04 - mean_absolute_error: 0.0096 75/126 [================>.............] - ETA: 0s - loss: 1.5793e-04 - mean_absolute_error: 0.0097101/126 [=======================>......] - ETA: 0s - loss: 1.6840e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 2ms/step - loss: 1.6323e-04 - mean_absolute_error: 0.0097 - val_loss: 5.0420e-05 - val_mean_absolute_error: 0.0056
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.0035e-04 - mean_absolute_error: 0.0079 21/126 [====>.........................] - ETA: 0s - loss: 1.6022e-04 - mean_absolute_error: 0.0097 45/126 [=========>....................] - ETA: 0s - loss: 1.7259e-04 - mean_absolute_error: 0.0100 70/126 [===============>..............] - ETA: 0s - loss: 1.6593e-04 - mean_absolute_error: 0.0099 96/126 [=====================>........] - ETA: 0s - loss: 1.7131e-04 - mean_absolute_error: 0.0100122/126 [============================>.] - ETA: 0s - loss: 1.7925e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 2ms/step - loss: 1.7871e-04 - mean_absolute_error: 0.0101 - val_loss: 5.1625e-05 - val_mean_absolute_error: 0.0057
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 1.3928e-04 - mean_absolute_error: 0.0091 22/126 [====>.........................] - ETA: 0s - loss: 1.7158e-04 - mean_absolute_error: 0.0094 45/126 [=========>....................] - ETA: 0s - loss: 1.6188e-04 - mean_absolute_error: 0.0095 71/126 [===============>..............] - ETA: 0s - loss: 1.6508e-04 - mean_absolute_error: 0.0097 96/126 [=====================>........] - ETA: 0s - loss: 1.6809e-04 - mean_absolute_error: 0.0098121/126 [===========================>..] - ETA: 0s - loss: 1.6020e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6033e-04 - mean_absolute_error: 0.0096 - val_loss: 5.7568e-05 - val_mean_absolute_error: 0.0061
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 2.3590e-04 - mean_absolute_error: 0.0130 24/126 [====>.........................] - ETA: 0s - loss: 1.4937e-04 - mean_absolute_error: 0.0094 48/126 [==========>...................] - ETA: 0s - loss: 1.5709e-04 - mean_absolute_error: 0.0095 74/126 [================>.............] - ETA: 0s - loss: 1.5407e-04 - mean_absolute_error: 0.0095 98/126 [======================>.......] - ETA: 0s - loss: 1.5187e-04 - mean_absolute_error: 0.0094123/126 [============================>.] - ETA: 0s - loss: 1.5365e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 2ms/step - loss: 1.5827e-04 - mean_absolute_error: 0.0095 - val_loss: 5.2297e-05 - val_mean_absolute_error: 0.0057
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 1.3571e-04 - mean_absolute_error: 0.0084 25/126 [====>.........................] - ETA: 0s - loss: 1.6080e-04 - mean_absolute_error: 0.0097 49/126 [==========>...................] - ETA: 0s - loss: 1.7061e-04 - mean_absolute_error: 0.0095 73/126 [================>.............] - ETA: 0s - loss: 1.6607e-04 - mean_absolute_error: 0.0095 96/126 [=====================>........] - ETA: 0s - loss: 1.6029e-04 - mean_absolute_error: 0.0094122/126 [============================>.] - ETA: 0s - loss: 1.6037e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.5996e-04 - mean_absolute_error: 0.0096 - val_loss: 7.8542e-05 - val_mean_absolute_error: 0.0072
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.2749e-04 - mean_absolute_error: 0.0098 22/126 [====>.........................] - ETA: 0s - loss: 1.4511e-04 - mean_absolute_error: 0.0092 46/126 [=========>....................] - ETA: 0s - loss: 1.6084e-04 - mean_absolute_error: 0.0095 70/126 [===============>..............] - ETA: 0s - loss: 1.7126e-04 - mean_absolute_error: 0.0096 94/126 [=====================>........] - ETA: 0s - loss: 1.6261e-04 - mean_absolute_error: 0.0095119/126 [===========================>..] - ETA: 0s - loss: 1.5876e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5895e-04 - mean_absolute_error: 0.0095 - val_loss: 5.3449e-05 - val_mean_absolute_error: 0.0058
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 1.0651e-04 - mean_absolute_error: 0.0076 24/126 [====>.........................] - ETA: 0s - loss: 1.6843e-04 - mean_absolute_error: 0.0095 48/126 [==========>...................] - ETA: 0s - loss: 1.5191e-04 - mean_absolute_error: 0.0092 71/126 [===============>..............] - ETA: 0s - loss: 1.4745e-04 - mean_absolute_error: 0.0092 94/126 [=====================>........] - ETA: 0s - loss: 1.6071e-04 - mean_absolute_error: 0.0095118/126 [===========================>..] - ETA: 0s - loss: 1.6268e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6248e-04 - mean_absolute_error: 0.0096 - val_loss: 4.9870e-05 - val_mean_absolute_error: 0.0055
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 1.5917e-04 - mean_absolute_error: 0.0100 25/126 [====>.........................] - ETA: 0s - loss: 1.6649e-04 - mean_absolute_error: 0.0093 50/126 [==========>...................] - ETA: 0s - loss: 1.4583e-04 - mean_absolute_error: 0.0090 73/126 [================>.............] - ETA: 0s - loss: 1.5068e-04 - mean_absolute_error: 0.0091 97/126 [======================>.......] - ETA: 0s - loss: 1.5273e-04 - mean_absolute_error: 0.0092120/126 [===========================>..] - ETA: 0s - loss: 1.5232e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 2ms/step - loss: 1.5266e-04 - mean_absolute_error: 0.0092 - val_loss: 6.8778e-05 - val_mean_absolute_error: 0.0067
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 2.5103e-04 - mean_absolute_error: 0.0107 24/126 [====>.........................] - ETA: 0s - loss: 1.7507e-04 - mean_absolute_error: 0.0096 49/126 [==========>...................] - ETA: 0s - loss: 1.6707e-04 - mean_absolute_error: 0.0094 75/126 [================>.............] - ETA: 0s - loss: 1.5865e-04 - mean_absolute_error: 0.0093 99/126 [======================>.......] - ETA: 0s - loss: 1.6016e-04 - mean_absolute_error: 0.0094124/126 [============================>.] - ETA: 0s - loss: 1.5604e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.5597e-04 - mean_absolute_error: 0.0093 - val_loss: 7.5774e-05 - val_mean_absolute_error: 0.0071
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 1.1823e-04 - mean_absolute_error: 0.0087 21/126 [====>.........................] - ETA: 0s - loss: 1.5199e-04 - mean_absolute_error: 0.0094 46/126 [=========>....................] - ETA: 0s - loss: 1.6380e-04 - mean_absolute_error: 0.0094 72/126 [================>.............] - ETA: 0s - loss: 1.5853e-04 - mean_absolute_error: 0.0095 99/126 [======================>.......] - ETA: 0s - loss: 1.5779e-04 - mean_absolute_error: 0.0095123/126 [============================>.] - ETA: 0s - loss: 1.5836e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5791e-04 - mean_absolute_error: 0.0095 - val_loss: 9.9683e-05 - val_mean_absolute_error: 0.0082
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 1.6934e-04 - mean_absolute_error: 0.0109 25/126 [====>.........................] - ETA: 0s - loss: 1.6824e-04 - mean_absolute_error: 0.0096 49/126 [==========>...................] - ETA: 0s - loss: 1.6195e-04 - mean_absolute_error: 0.0095 75/126 [================>.............] - ETA: 0s - loss: 1.5220e-04 - mean_absolute_error: 0.0093101/126 [=======================>......] - ETA: 0s - loss: 1.5082e-04 - mean_absolute_error: 0.0093125/126 [============================>.] - ETA: 0s - loss: 1.5459e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.5447e-04 - mean_absolute_error: 0.0093 - val_loss: 5.2388e-05 - val_mean_absolute_error: 0.0058
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 1.2399e-04 - mean_absolute_error: 0.0092 22/126 [====>.........................] - ETA: 0s - loss: 1.4125e-04 - mean_absolute_error: 0.0089 45/126 [=========>....................] - ETA: 0s - loss: 1.5784e-04 - mean_absolute_error: 0.0093 71/126 [===============>..............] - ETA: 0s - loss: 1.5544e-04 - mean_absolute_error: 0.0094 96/126 [=====================>........] - ETA: 0s - loss: 1.5235e-04 - mean_absolute_error: 0.0093119/126 [===========================>..] - ETA: 0s - loss: 1.5557e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 2ms/step - loss: 1.5543e-04 - mean_absolute_error: 0.0093 - val_loss: 7.6612e-05 - val_mean_absolute_error: 0.0072
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 1.4804e-04 - mean_absolute_error: 0.0100 25/126 [====>.........................] - ETA: 0s - loss: 2.0142e-04 - mean_absolute_error: 0.0111 51/126 [===========>..................] - ETA: 0s - loss: 1.8935e-04 - mean_absolute_error: 0.0107 77/126 [=================>............] - ETA: 0s - loss: 1.7043e-04 - mean_absolute_error: 0.0101102/126 [=======================>......] - ETA: 0s - loss: 1.7076e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 2ms/step - loss: 1.6852e-04 - mean_absolute_error: 0.0098 - val_loss: 7.0633e-05 - val_mean_absolute_error: 0.0068
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 1.6688e-04 - mean_absolute_error: 0.0105 19/126 [===>..........................] - ETA: 0s - loss: 1.5186e-04 - mean_absolute_error: 0.0093 40/126 [========>.....................] - ETA: 0s - loss: 1.5046e-04 - mean_absolute_error: 0.0090 65/126 [==============>...............] - ETA: 0s - loss: 1.4301e-04 - mean_absolute_error: 0.0090 91/126 [====================>.........] - ETA: 0s - loss: 1.5194e-04 - mean_absolute_error: 0.0091117/126 [==========================>...] - ETA: 0s - loss: 1.4724e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4645e-04 - mean_absolute_error: 0.0090 - val_loss: 5.0156e-05 - val_mean_absolute_error: 0.0055
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 1.0941e-04 - mean_absolute_error: 0.0076 20/126 [===>..........................] - ETA: 0s - loss: 1.5524e-04 - mean_absolute_error: 0.0089 42/126 [=========>....................] - ETA: 0s - loss: 1.5451e-04 - mean_absolute_error: 0.0091 67/126 [==============>...............] - ETA: 0s - loss: 1.5129e-04 - mean_absolute_error: 0.0090 94/126 [=====================>........] - ETA: 0s - loss: 1.4761e-04 - mean_absolute_error: 0.0090120/126 [===========================>..] - ETA: 0s - loss: 1.4772e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4781e-04 - mean_absolute_error: 0.0091 - val_loss: 7.2403e-05 - val_mean_absolute_error: 0.0069
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 1.5581e-04 - mean_absolute_error: 0.0097 20/126 [===>..........................] - ETA: 0s - loss: 1.2683e-04 - mean_absolute_error: 0.0084 44/126 [=========>....................] - ETA: 0s - loss: 1.3796e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.3725e-04 - mean_absolute_error: 0.0088 92/126 [====================>.........] - ETA: 0s - loss: 1.4466e-04 - mean_absolute_error: 0.0089116/126 [==========================>...] - ETA: 0s - loss: 1.4887e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4704e-04 - mean_absolute_error: 0.0090 - val_loss: 5.2439e-05 - val_mean_absolute_error: 0.0058
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 1.4191e-04 - mean_absolute_error: 0.0097 25/126 [====>.........................] - ETA: 0s - loss: 1.7124e-04 - mean_absolute_error: 0.0094 49/126 [==========>...................] - ETA: 0s - loss: 1.5474e-04 - mean_absolute_error: 0.0093 75/126 [================>.............] - ETA: 0s - loss: 1.6690e-04 - mean_absolute_error: 0.0098102/126 [=======================>......] - ETA: 0s - loss: 1.7353e-04 - mean_absolute_error: 0.0099125/126 [============================>.] - ETA: 0s - loss: 1.6649e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6616e-04 - mean_absolute_error: 0.0097 - val_loss: 4.9894e-05 - val_mean_absolute_error: 0.0055
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 9.8920e-05 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 1.3680e-04 - mean_absolute_error: 0.0090 49/126 [==========>...................] - ETA: 0s - loss: 1.3553e-04 - mean_absolute_error: 0.0090 75/126 [================>.............] - ETA: 0s - loss: 1.4778e-04 - mean_absolute_error: 0.0092 99/126 [======================>.......] - ETA: 0s - loss: 1.4919e-04 - mean_absolute_error: 0.0093125/126 [============================>.] - ETA: 0s - loss: 1.5013e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 2ms/step - loss: 1.5012e-04 - mean_absolute_error: 0.0092 - val_loss: 6.4678e-05 - val_mean_absolute_error: 0.0065
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 1.1913e-04 - mean_absolute_error: 0.0087 23/126 [====>.........................] - ETA: 0s - loss: 1.4970e-04 - mean_absolute_error: 0.0094 49/126 [==========>...................] - ETA: 0s - loss: 1.5720e-04 - mean_absolute_error: 0.0097 75/126 [================>.............] - ETA: 0s - loss: 1.5692e-04 - mean_absolute_error: 0.0095101/126 [=======================>......] - ETA: 0s - loss: 1.6966e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 2ms/step - loss: 1.6346e-04 - mean_absolute_error: 0.0097 - val_loss: 4.9407e-05 - val_mean_absolute_error: 0.0054
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 1.1982e-04 - mean_absolute_error: 0.0091 20/126 [===>..........................] - ETA: 0s - loss: 1.2445e-04 - mean_absolute_error: 0.0086 45/126 [=========>....................] - ETA: 0s - loss: 1.5748e-04 - mean_absolute_error: 0.0092 69/126 [===============>..............] - ETA: 0s - loss: 1.5920e-04 - mean_absolute_error: 0.0094 91/126 [====================>.........] - ETA: 0s - loss: 1.5397e-04 - mean_absolute_error: 0.0093115/126 [==========================>...] - ETA: 0s - loss: 1.5006e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5451e-04 - mean_absolute_error: 0.0093 - val_loss: 9.3555e-05 - val_mean_absolute_error: 0.0080
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 1.7044e-04 - mean_absolute_error: 0.0108 23/126 [====>.........................] - ETA: 0s - loss: 1.6975e-04 - mean_absolute_error: 0.0102 49/126 [==========>...................] - ETA: 0s - loss: 1.6314e-04 - mean_absolute_error: 0.0099 75/126 [================>.............] - ETA: 0s - loss: 1.7356e-04 - mean_absolute_error: 0.0100100/126 [======================>.......] - ETA: 0s - loss: 1.6962e-04 - mean_absolute_error: 0.0099125/126 [============================>.] - ETA: 0s - loss: 1.6640e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6625e-04 - mean_absolute_error: 0.0097 - val_loss: 5.6856e-05 - val_mean_absolute_error: 0.0060
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.3726e-04 - mean_absolute_error: 0.0088 20/126 [===>..........................] - ETA: 0s - loss: 2.0079e-04 - mean_absolute_error: 0.0095 42/126 [=========>....................] - ETA: 0s - loss: 1.7206e-04 - mean_absolute_error: 0.0095 65/126 [==============>...............] - ETA: 0s - loss: 1.6228e-04 - mean_absolute_error: 0.0093 91/126 [====================>.........] - ETA: 0s - loss: 1.5566e-04 - mean_absolute_error: 0.0092117/126 [==========================>...] - ETA: 0s - loss: 1.5239e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5234e-04 - mean_absolute_error: 0.0092 - val_loss: 5.6612e-05 - val_mean_absolute_error: 0.0060
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.0698e-04 - mean_absolute_error: 0.0086 21/126 [====>.........................] - ETA: 0s - loss: 1.5146e-04 - mean_absolute_error: 0.0089 47/126 [==========>...................] - ETA: 0s - loss: 1.4913e-04 - mean_absolute_error: 0.0092 72/126 [================>.............] - ETA: 0s - loss: 1.4747e-04 - mean_absolute_error: 0.0092 97/126 [======================>.......] - ETA: 0s - loss: 1.4305e-04 - mean_absolute_error: 0.0091123/126 [============================>.] - ETA: 0s - loss: 1.6572e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 2ms/step - loss: 1.6745e-04 - mean_absolute_error: 0.0097 - val_loss: 1.3468e-04 - val_mean_absolute_error: 0.0099
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 2.5782e-04 - mean_absolute_error: 0.0133 22/126 [====>.........................] - ETA: 0s - loss: 1.8624e-04 - mean_absolute_error: 0.0102 45/126 [=========>....................] - ETA: 0s - loss: 1.7026e-04 - mean_absolute_error: 0.0098 71/126 [===============>..............] - ETA: 0s - loss: 1.6355e-04 - mean_absolute_error: 0.0097 96/126 [=====================>........] - ETA: 0s - loss: 1.5751e-04 - mean_absolute_error: 0.0095120/126 [===========================>..] - ETA: 0s - loss: 1.6240e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6161e-04 - mean_absolute_error: 0.0096 - val_loss: 1.3430e-04 - val_mean_absolute_error: 0.0098
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.6999e-04 - mean_absolute_error: 0.0105 24/126 [====>.........................] - ETA: 0s - loss: 1.2596e-04 - mean_absolute_error: 0.0086 50/126 [==========>...................] - ETA: 0s - loss: 1.2785e-04 - mean_absolute_error: 0.0087 75/126 [================>.............] - ETA: 0s - loss: 1.4453e-04 - mean_absolute_error: 0.0091101/126 [=======================>......] - ETA: 0s - loss: 1.5909e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5587e-04 - mean_absolute_error: 0.0094 - val_loss: 4.9243e-05 - val_mean_absolute_error: 0.0054
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 1.6932e-04 - mean_absolute_error: 0.0101 24/126 [====>.........................] - ETA: 0s - loss: 1.4409e-04 - mean_absolute_error: 0.0092 49/126 [==========>...................] - ETA: 0s - loss: 1.4815e-04 - mean_absolute_error: 0.0093 75/126 [================>.............] - ETA: 0s - loss: 1.5717e-04 - mean_absolute_error: 0.0096101/126 [=======================>......] - ETA: 0s - loss: 1.6947e-04 - mean_absolute_error: 0.0098126/126 [==============================] - ETA: 0s - loss: 1.6380e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6380e-04 - mean_absolute_error: 0.0096 - val_loss: 4.8918e-05 - val_mean_absolute_error: 0.0053
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 6.8355e-05 - mean_absolute_error: 0.0061 23/126 [====>.........................] - ETA: 0s - loss: 1.4731e-04 - mean_absolute_error: 0.0091 46/126 [=========>....................] - ETA: 0s - loss: 1.5098e-04 - mean_absolute_error: 0.0093 72/126 [================>.............] - ETA: 0s - loss: 1.4822e-04 - mean_absolute_error: 0.0093 99/126 [======================>.......] - ETA: 0s - loss: 1.6591e-04 - mean_absolute_error: 0.0098125/126 [============================>.] - ETA: 0s - loss: 1.6415e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6446e-04 - mean_absolute_error: 0.0096 - val_loss: 1.3308e-04 - val_mean_absolute_error: 0.0098
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 2.4171e-04 - mean_absolute_error: 0.0129 23/126 [====>.........................] - ETA: 0s - loss: 1.6633e-04 - mean_absolute_error: 0.0098 49/126 [==========>...................] - ETA: 0s - loss: 1.6109e-04 - mean_absolute_error: 0.0098 76/126 [=================>............] - ETA: 0s - loss: 1.8159e-04 - mean_absolute_error: 0.0102102/126 [=======================>......] - ETA: 0s - loss: 1.8855e-04 - mean_absolute_error: 0.0104126/126 [==============================] - ETA: 0s - loss: 1.8973e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 2ms/step - loss: 1.8973e-04 - mean_absolute_error: 0.0104 - val_loss: 6.2790e-05 - val_mean_absolute_error: 0.0064
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 1.4139e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 1.2407e-04 - mean_absolute_error: 0.0084 48/126 [==========>...................] - ETA: 0s - loss: 1.4105e-04 - mean_absolute_error: 0.0091 72/126 [================>.............] - ETA: 0s - loss: 1.4045e-04 - mean_absolute_error: 0.0091 94/126 [=====================>........] - ETA: 0s - loss: 1.4855e-04 - mean_absolute_error: 0.0093119/126 [===========================>..] - ETA: 0s - loss: 1.5257e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 2ms/step - loss: 1.5647e-04 - mean_absolute_error: 0.0094 - val_loss: 1.2575e-04 - val_mean_absolute_error: 0.0094
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 3.6174e-04 - mean_absolute_error: 0.0154 24/126 [====>.........................] - ETA: 0s - loss: 1.7229e-04 - mean_absolute_error: 0.0100 47/126 [==========>...................] - ETA: 0s - loss: 1.5734e-04 - mean_absolute_error: 0.0095 71/126 [===============>..............] - ETA: 0s - loss: 1.6176e-04 - mean_absolute_error: 0.0097 95/126 [=====================>........] - ETA: 0s - loss: 1.6631e-04 - mean_absolute_error: 0.0098119/126 [===========================>..] - ETA: 0s - loss: 1.7741e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 3ms/step - loss: 1.7795e-04 - mean_absolute_error: 0.0102 - val_loss: 6.6764e-05 - val_mean_absolute_error: 0.0066
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 1.4471e-04 - mean_absolute_error: 0.0099 25/126 [====>.........................] - ETA: 0s - loss: 2.0260e-04 - mean_absolute_error: 0.0112 51/126 [===========>..................] - ETA: 0s - loss: 1.6108e-04 - mean_absolute_error: 0.0097 77/126 [=================>............] - ETA: 0s - loss: 1.6276e-04 - mean_absolute_error: 0.0096102/126 [=======================>......] - ETA: 0s - loss: 1.5702e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5787e-04 - mean_absolute_error: 0.0095 - val_loss: 4.9854e-05 - val_mean_absolute_error: 0.0055
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 1.1295e-04 - mean_absolute_error: 0.0078 22/126 [====>.........................] - ETA: 0s - loss: 1.2588e-04 - mean_absolute_error: 0.0088 45/126 [=========>....................] - ETA: 0s - loss: 1.3626e-04 - mean_absolute_error: 0.0090 67/126 [==============>...............] - ETA: 0s - loss: 1.4797e-04 - mean_absolute_error: 0.0094 78/126 [=================>............] - ETA: 0s - loss: 1.5819e-04 - mean_absolute_error: 0.0094 89/126 [====================>.........] - ETA: 0s - loss: 1.5700e-04 - mean_absolute_error: 0.0094102/126 [=======================>......] - ETA: 0s - loss: 1.5694e-04 - mean_absolute_error: 0.0094123/126 [============================>.] - ETA: 0s - loss: 1.5400e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5421e-04 - mean_absolute_error: 0.0093 - val_loss: 1.1472e-04 - val_mean_absolute_error: 0.0090
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 2.3563e-04 - mean_absolute_error: 0.0124 23/126 [====>.........................] - ETA: 0s - loss: 1.4659e-04 - mean_absolute_error: 0.0091 45/126 [=========>....................] - ETA: 0s - loss: 1.4772e-04 - mean_absolute_error: 0.0094 68/126 [===============>..............] - ETA: 0s - loss: 1.4933e-04 - mean_absolute_error: 0.0095 91/126 [====================>.........] - ETA: 0s - loss: 1.4615e-04 - mean_absolute_error: 0.0091114/126 [==========================>...] - ETA: 0s - loss: 1.4821e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4885e-04 - mean_absolute_error: 0.0091 - val_loss: 4.8322e-05 - val_mean_absolute_error: 0.0053
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 1.4441e-04 - mean_absolute_error: 0.0098 22/126 [====>.........................] - ETA: 0s - loss: 1.4902e-04 - mean_absolute_error: 0.0086 43/126 [=========>....................] - ETA: 0s - loss: 1.4374e-04 - mean_absolute_error: 0.0088 63/126 [==============>...............] - ETA: 0s - loss: 1.4280e-04 - mean_absolute_error: 0.0089 86/126 [===================>..........] - ETA: 0s - loss: 1.4125e-04 - mean_absolute_error: 0.0090108/126 [========================>.....] - ETA: 0s - loss: 1.4810e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4878e-04 - mean_absolute_error: 0.0092 - val_loss: 5.3981e-05 - val_mean_absolute_error: 0.0059
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 1.5483e-04 - mean_absolute_error: 0.0097 26/126 [=====>........................] - ETA: 0s - loss: 1.4120e-04 - mean_absolute_error: 0.0086 52/126 [===========>..................] - ETA: 0s - loss: 1.6083e-04 - mean_absolute_error: 0.0093 72/126 [================>.............] - ETA: 0s - loss: 1.5854e-04 - mean_absolute_error: 0.0093 90/126 [====================>.........] - ETA: 0s - loss: 1.5976e-04 - mean_absolute_error: 0.0093107/126 [========================>.....] - ETA: 0s - loss: 1.5585e-04 - mean_absolute_error: 0.0093124/126 [============================>.] - ETA: 0s - loss: 1.5337e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5319e-04 - mean_absolute_error: 0.0093 - val_loss: 4.8913e-05 - val_mean_absolute_error: 0.0054
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 1.2429e-04 - mean_absolute_error: 0.0087 24/126 [====>.........................] - ETA: 0s - loss: 1.2966e-04 - mean_absolute_error: 0.0088 50/126 [==========>...................] - ETA: 0s - loss: 1.3772e-04 - mean_absolute_error: 0.0087 76/126 [=================>............] - ETA: 0s - loss: 1.3109e-04 - mean_absolute_error: 0.0086100/126 [======================>.......] - ETA: 0s - loss: 1.3599e-04 - mean_absolute_error: 0.0086124/126 [============================>.] - ETA: 0s - loss: 1.3595e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 2ms/step - loss: 1.3567e-04 - mean_absolute_error: 0.0087 - val_loss: 4.9695e-05 - val_mean_absolute_error: 0.0055
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 1.3180e-04 - mean_absolute_error: 0.0091 23/126 [====>.........................] - ETA: 0s - loss: 1.6741e-04 - mean_absolute_error: 0.0094 49/126 [==========>...................] - ETA: 0s - loss: 1.6015e-04 - mean_absolute_error: 0.0094 76/126 [=================>............] - ETA: 0s - loss: 1.5794e-04 - mean_absolute_error: 0.0094 99/126 [======================>.......] - ETA: 0s - loss: 1.5763e-04 - mean_absolute_error: 0.0093123/126 [============================>.] - ETA: 0s - loss: 1.5349e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.5334e-04 - mean_absolute_error: 0.0093 - val_loss: 5.5024e-05 - val_mean_absolute_error: 0.0059
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 6.7721e-05 - mean_absolute_error: 0.0064 24/126 [====>.........................] - ETA: 0s - loss: 1.4326e-04 - mean_absolute_error: 0.0088 50/126 [==========>...................] - ETA: 0s - loss: 1.4795e-04 - mean_absolute_error: 0.0091 69/126 [===============>..............] - ETA: 0s - loss: 1.5166e-04 - mean_absolute_error: 0.0091 89/126 [====================>.........] - ETA: 0s - loss: 1.5718e-04 - mean_absolute_error: 0.0094109/126 [========================>.....] - ETA: 0s - loss: 1.5487e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5715e-04 - mean_absolute_error: 0.0095 - val_loss: 5.3420e-05 - val_mean_absolute_error: 0.0058
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 1.1417e-04 - mean_absolute_error: 0.0083 18/126 [===>..........................] - ETA: 0s - loss: 1.1688e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.3581e-04 - mean_absolute_error: 0.0089 70/126 [===============>..............] - ETA: 0s - loss: 1.7118e-04 - mean_absolute_error: 0.0098 96/126 [=====================>........] - ETA: 0s - loss: 1.6645e-04 - mean_absolute_error: 0.0096122/126 [============================>.] - ETA: 0s - loss: 1.5740e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 2ms/step - loss: 1.5690e-04 - mean_absolute_error: 0.0094 - val_loss: 8.4738e-05 - val_mean_absolute_error: 0.0076
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 2.5604e-04 - mean_absolute_error: 0.0119 19/126 [===>..........................] - ETA: 0s - loss: 1.4919e-04 - mean_absolute_error: 0.0093 42/126 [=========>....................] - ETA: 0s - loss: 1.5964e-04 - mean_absolute_error: 0.0093 65/126 [==============>...............] - ETA: 0s - loss: 1.5225e-04 - mean_absolute_error: 0.0091 91/126 [====================>.........] - ETA: 0s - loss: 1.4855e-04 - mean_absolute_error: 0.0091117/126 [==========================>...] - ETA: 0s - loss: 1.4824e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.5051e-04 - mean_absolute_error: 0.0092 - val_loss: 8.2473e-05 - val_mean_absolute_error: 0.0075
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.7360e-04 - mean_absolute_error: 0.0112 23/126 [====>.........................] - ETA: 0s - loss: 1.7721e-04 - mean_absolute_error: 0.0097 50/126 [==========>...................] - ETA: 0s - loss: 1.8138e-04 - mean_absolute_error: 0.0100 77/126 [=================>............] - ETA: 0s - loss: 1.6527e-04 - mean_absolute_error: 0.0096103/126 [=======================>......] - ETA: 0s - loss: 1.6141e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.6204e-04 - mean_absolute_error: 0.0096 - val_loss: 1.4326e-04 - val_mean_absolute_error: 0.0103
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 1.7507e-04 - mean_absolute_error: 0.0114 24/126 [====>.........................] - ETA: 0s - loss: 1.8728e-04 - mean_absolute_error: 0.0107 50/126 [==========>...................] - ETA: 0s - loss: 1.9964e-04 - mean_absolute_error: 0.0112 77/126 [=================>............] - ETA: 0s - loss: 1.8016e-04 - mean_absolute_error: 0.0104103/126 [=======================>......] - ETA: 0s - loss: 1.7430e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 2ms/step - loss: 1.7258e-04 - mean_absolute_error: 0.0100 - val_loss: 6.8717e-05 - val_mean_absolute_error: 0.0068
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 1.7616e-04 - mean_absolute_error: 0.0105 21/126 [====>.........................] - ETA: 0s - loss: 1.7319e-04 - mean_absolute_error: 0.0095 43/126 [=========>....................] - ETA: 0s - loss: 1.8642e-04 - mean_absolute_error: 0.0101 69/126 [===============>..............] - ETA: 0s - loss: 1.6791e-04 - mean_absolute_error: 0.0096 93/126 [=====================>........] - ETA: 0s - loss: 1.5871e-04 - mean_absolute_error: 0.0094107/126 [========================>.....] - ETA: 0s - loss: 1.5388e-04 - mean_absolute_error: 0.0093126/126 [==============================] - ETA: 0s - loss: 1.5155e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5155e-04 - mean_absolute_error: 0.0092 - val_loss: 4.8240e-05 - val_mean_absolute_error: 0.0054
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 1.5967e-04 - mean_absolute_error: 0.0084 24/126 [====>.........................] - ETA: 0s - loss: 1.5737e-04 - mean_absolute_error: 0.0096 38/126 [========>.....................] - ETA: 0s - loss: 1.6705e-04 - mean_absolute_error: 0.0095 48/126 [==========>...................] - ETA: 0s - loss: 1.7694e-04 - mean_absolute_error: 0.0100 58/126 [============>.................] - ETA: 0s - loss: 1.8598e-04 - mean_absolute_error: 0.0104 69/126 [===============>..............] - ETA: 0s - loss: 1.7654e-04 - mean_absolute_error: 0.0101 79/126 [=================>............] - ETA: 0s - loss: 1.7162e-04 - mean_absolute_error: 0.0100 91/126 [====================>.........] - ETA: 0s - loss: 1.7267e-04 - mean_absolute_error: 0.0100109/126 [========================>.....] - ETA: 0s - loss: 1.6710e-04 - mean_absolute_error: 0.0099124/126 [============================>.] - ETA: 0s - loss: 1.6686e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 1s 4ms/step - loss: 1.6609e-04 - mean_absolute_error: 0.0098 - val_loss: 5.6456e-05 - val_mean_absolute_error: 0.0060
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 1.3284e-04 - mean_absolute_error: 0.0094 23/126 [====>.........................] - ETA: 0s - loss: 1.6176e-04 - mean_absolute_error: 0.0091 49/126 [==========>...................] - ETA: 0s - loss: 1.4305e-04 - mean_absolute_error: 0.0088 75/126 [================>.............] - ETA: 0s - loss: 1.4824e-04 - mean_absolute_error: 0.0092 92/126 [====================>.........] - ETA: 0s - loss: 1.5463e-04 - mean_absolute_error: 0.0093108/126 [========================>.....] - ETA: 0s - loss: 1.4805e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4416e-04 - mean_absolute_error: 0.0090 - val_loss: 5.6812e-05 - val_mean_absolute_error: 0.0060
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 1.3676e-04 - mean_absolute_error: 0.0083 23/126 [====>.........................] - ETA: 0s - loss: 2.5374e-04 - mean_absolute_error: 0.0123 47/126 [==========>...................] - ETA: 0s - loss: 2.0870e-04 - mean_absolute_error: 0.0111 70/126 [===============>..............] - ETA: 0s - loss: 1.8603e-04 - mean_absolute_error: 0.0105 96/126 [=====================>........] - ETA: 0s - loss: 1.7465e-04 - mean_absolute_error: 0.0100123/126 [============================>.] - ETA: 0s - loss: 1.6499e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 2ms/step - loss: 1.6514e-04 - mean_absolute_error: 0.0098 - val_loss: 4.7770e-05 - val_mean_absolute_error: 0.0054
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 1.4211e-04 - mean_absolute_error: 0.0089 22/126 [====>.........................] - ETA: 0s - loss: 1.4505e-04 - mean_absolute_error: 0.0093 42/126 [=========>....................] - ETA: 0s - loss: 1.6492e-04 - mean_absolute_error: 0.0100 67/126 [==============>...............] - ETA: 0s - loss: 1.6624e-04 - mean_absolute_error: 0.0098 93/126 [=====================>........] - ETA: 0s - loss: 1.5621e-04 - mean_absolute_error: 0.0095119/126 [===========================>..] - ETA: 0s - loss: 1.5079e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5423e-04 - mean_absolute_error: 0.0093 - val_loss: 4.8425e-05 - val_mean_absolute_error: 0.0055
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.8045e-04 - mean_absolute_error: 0.0098 25/126 [====>.........................] - ETA: 0s - loss: 1.2451e-04 - mean_absolute_error: 0.0086 51/126 [===========>..................] - ETA: 0s - loss: 1.3066e-04 - mean_absolute_error: 0.0088 75/126 [================>.............] - ETA: 0s - loss: 1.5807e-04 - mean_absolute_error: 0.0095100/126 [======================>.......] - ETA: 0s - loss: 1.5997e-04 - mean_absolute_error: 0.0096120/126 [===========================>..] - ETA: 0s - loss: 1.5652e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5594e-04 - mean_absolute_error: 0.0094 - val_loss: 6.3529e-05 - val_mean_absolute_error: 0.0065
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.6557e-04 - mean_absolute_error: 0.0110 21/126 [====>.........................] - ETA: 0s - loss: 1.3939e-04 - mean_absolute_error: 0.0093 43/126 [=========>....................] - ETA: 0s - loss: 1.6916e-04 - mean_absolute_error: 0.0098 69/126 [===============>..............] - ETA: 0s - loss: 1.7034e-04 - mean_absolute_error: 0.0097 95/126 [=====================>........] - ETA: 0s - loss: 1.6288e-04 - mean_absolute_error: 0.0096122/126 [============================>.] - ETA: 0s - loss: 1.5780e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 2ms/step - loss: 1.5768e-04 - mean_absolute_error: 0.0094 - val_loss: 4.7725e-05 - val_mean_absolute_error: 0.0054
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 7.6122e-05 - mean_absolute_error: 0.0072 18/126 [===>..........................] - ETA: 0s - loss: 1.4819e-04 - mean_absolute_error: 0.0093 39/126 [========>.....................] - ETA: 0s - loss: 1.5416e-04 - mean_absolute_error: 0.0098 59/126 [=============>................] - ETA: 0s - loss: 1.5082e-04 - mean_absolute_error: 0.0096 74/126 [================>.............] - ETA: 0s - loss: 1.5196e-04 - mean_absolute_error: 0.0094 90/126 [====================>.........] - ETA: 0s - loss: 1.5313e-04 - mean_absolute_error: 0.0094108/126 [========================>.....] - ETA: 0s - loss: 1.5808e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.5839e-04 - mean_absolute_error: 0.0095 - val_loss: 1.1818e-04 - val_mean_absolute_error: 0.0093
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 2.0166e-04 - mean_absolute_error: 0.0111 24/126 [====>.........................] - ETA: 0s - loss: 1.4769e-04 - mean_absolute_error: 0.0092 47/126 [==========>...................] - ETA: 0s - loss: 1.3977e-04 - mean_absolute_error: 0.0090 71/126 [===============>..............] - ETA: 0s - loss: 1.5001e-04 - mean_absolute_error: 0.0089 96/126 [=====================>........] - ETA: 0s - loss: 1.4561e-04 - mean_absolute_error: 0.0089120/126 [===========================>..] - ETA: 0s - loss: 1.4555e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4658e-04 - mean_absolute_error: 0.0091 - val_loss: 6.8394e-05 - val_mean_absolute_error: 0.0068
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.1025e-04 - mean_absolute_error: 0.0076 16/126 [==>...........................] - ETA: 0s - loss: 1.5915e-04 - mean_absolute_error: 0.0097 32/126 [======>.......................] - ETA: 0s - loss: 1.4589e-04 - mean_absolute_error: 0.0093 54/126 [===========>..................] - ETA: 0s - loss: 1.5686e-04 - mean_absolute_error: 0.0094 80/126 [==================>...........] - ETA: 0s - loss: 1.4770e-04 - mean_absolute_error: 0.0092107/126 [========================>.....] - ETA: 0s - loss: 1.5007e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5695e-04 - mean_absolute_error: 0.0095 - val_loss: 6.8007e-05 - val_mean_absolute_error: 0.0067
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.5825e-04 - mean_absolute_error: 0.0108 22/126 [====>.........................] - ETA: 0s - loss: 1.5271e-04 - mean_absolute_error: 0.0089 45/126 [=========>....................] - ETA: 0s - loss: 1.5192e-04 - mean_absolute_error: 0.0089 71/126 [===============>..............] - ETA: 0s - loss: 1.6883e-04 - mean_absolute_error: 0.0096 97/126 [======================>.......] - ETA: 0s - loss: 1.5962e-04 - mean_absolute_error: 0.0094123/126 [============================>.] - ETA: 0s - loss: 1.5269e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 2ms/step - loss: 1.5425e-04 - mean_absolute_error: 0.0093 - val_loss: 2.9270e-04 - val_mean_absolute_error: 0.0157
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 5.8013e-04 - mean_absolute_error: 0.0215 21/126 [====>.........................] - ETA: 0s - loss: 3.3105e-04 - mean_absolute_error: 0.0147 47/126 [==========>...................] - ETA: 0s - loss: 2.6588e-04 - mean_absolute_error: 0.0129 66/126 [==============>...............] - ETA: 0s - loss: 2.4679e-04 - mean_absolute_error: 0.0123 87/126 [===================>..........] - ETA: 0s - loss: 2.2834e-04 - mean_absolute_error: 0.0118113/126 [=========================>....] - ETA: 0s - loss: 2.1093e-04 - mean_absolute_error: 0.0111126/126 [==============================] - 0s 3ms/step - loss: 2.0132e-04 - mean_absolute_error: 0.0108 - val_loss: 5.3496e-05 - val_mean_absolute_error: 0.0058
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 8.5302e-05 - mean_absolute_error: 0.0073 26/126 [=====>........................] - ETA: 0s - loss: 1.2827e-04 - mean_absolute_error: 0.0088 52/126 [===========>..................] - ETA: 0s - loss: 1.5242e-04 - mean_absolute_error: 0.0093 79/126 [=================>............] - ETA: 0s - loss: 1.5615e-04 - mean_absolute_error: 0.0094105/126 [========================>.....] - ETA: 0s - loss: 1.5001e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.5663e-04 - mean_absolute_error: 0.0095 - val_loss: 1.0995e-04 - val_mean_absolute_error: 0.0088
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 2.9642e-04 - mean_absolute_error: 0.0142 19/126 [===>..........................] - ETA: 0s - loss: 1.3881e-04 - mean_absolute_error: 0.0092 42/126 [=========>....................] - ETA: 0s - loss: 1.4084e-04 - mean_absolute_error: 0.0092 66/126 [==============>...............] - ETA: 0s - loss: 1.4136e-04 - mean_absolute_error: 0.0092 90/126 [====================>.........] - ETA: 0s - loss: 1.4240e-04 - mean_absolute_error: 0.0091116/126 [==========================>...] - ETA: 0s - loss: 1.4646e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4508e-04 - mean_absolute_error: 0.0090 - val_loss: 4.9113e-05 - val_mean_absolute_error: 0.0056
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 8.9694e-05 - mean_absolute_error: 0.0078 23/126 [====>.........................] - ETA: 0s - loss: 1.4352e-04 - mean_absolute_error: 0.0087 49/126 [==========>...................] - ETA: 0s - loss: 1.4535e-04 - mean_absolute_error: 0.0088 76/126 [=================>............] - ETA: 0s - loss: 1.3229e-04 - mean_absolute_error: 0.0085 95/126 [=====================>........] - ETA: 0s - loss: 1.3801e-04 - mean_absolute_error: 0.0087112/126 [=========================>....] - ETA: 0s - loss: 1.3602e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3925e-04 - mean_absolute_error: 0.0089 - val_loss: 4.8007e-05 - val_mean_absolute_error: 0.0055
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.4482e-04 - mean_absolute_error: 0.0088 20/126 [===>..........................] - ETA: 0s - loss: 1.2290e-04 - mean_absolute_error: 0.0083 45/126 [=========>....................] - ETA: 0s - loss: 1.3930e-04 - mean_absolute_error: 0.0087 71/126 [===============>..............] - ETA: 0s - loss: 1.4133e-04 - mean_absolute_error: 0.0088 93/126 [=====================>........] - ETA: 0s - loss: 1.4001e-04 - mean_absolute_error: 0.0089117/126 [==========================>...] - ETA: 0s - loss: 1.4626e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4603e-04 - mean_absolute_error: 0.0090 - val_loss: 4.9901e-05 - val_mean_absolute_error: 0.0056
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 9.2384e-05 - mean_absolute_error: 0.0074 21/126 [====>.........................] - ETA: 0s - loss: 1.2111e-04 - mean_absolute_error: 0.0085 42/126 [=========>....................] - ETA: 0s - loss: 1.2130e-04 - mean_absolute_error: 0.0084 68/126 [===============>..............] - ETA: 0s - loss: 1.3394e-04 - mean_absolute_error: 0.0085 93/126 [=====================>........] - ETA: 0s - loss: 1.3147e-04 - mean_absolute_error: 0.0085119/126 [===========================>..] - ETA: 0s - loss: 1.3657e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3697e-04 - mean_absolute_error: 0.0087 - val_loss: 6.8802e-05 - val_mean_absolute_error: 0.0068
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 9.7210e-05 - mean_absolute_error: 0.0084 23/126 [====>.........................] - ETA: 0s - loss: 1.3940e-04 - mean_absolute_error: 0.0091 49/126 [==========>...................] - ETA: 0s - loss: 1.3657e-04 - mean_absolute_error: 0.0090 76/126 [=================>............] - ETA: 0s - loss: 1.4680e-04 - mean_absolute_error: 0.0090101/126 [=======================>......] - ETA: 0s - loss: 1.4778e-04 - mean_absolute_error: 0.0092120/126 [===========================>..] - ETA: 0s - loss: 1.5024e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.4859e-04 - mean_absolute_error: 0.0092 - val_loss: 1.1311e-04 - val_mean_absolute_error: 0.0090
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 3.3658e-04 - mean_absolute_error: 0.0148 25/126 [====>.........................] - ETA: 0s - loss: 1.4422e-04 - mean_absolute_error: 0.0092 49/126 [==========>...................] - ETA: 0s - loss: 1.6977e-04 - mean_absolute_error: 0.0095 75/126 [================>.............] - ETA: 0s - loss: 1.6748e-04 - mean_absolute_error: 0.0096101/126 [=======================>......] - ETA: 0s - loss: 1.5737e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.6015e-04 - mean_absolute_error: 0.0095 - val_loss: 4.6106e-05 - val_mean_absolute_error: 0.0053
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 1.1138e-04 - mean_absolute_error: 0.0078 21/126 [====>.........................] - ETA: 0s - loss: 1.8497e-04 - mean_absolute_error: 0.0099 38/126 [========>.....................] - ETA: 0s - loss: 1.5355e-04 - mean_absolute_error: 0.0092 59/126 [=============>................] - ETA: 0s - loss: 1.4712e-04 - mean_absolute_error: 0.0091 82/126 [==================>...........] - ETA: 0s - loss: 1.4471e-04 - mean_absolute_error: 0.0090105/126 [========================>.....] - ETA: 0s - loss: 1.3810e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.3976e-04 - mean_absolute_error: 0.0088 - val_loss: 4.5325e-05 - val_mean_absolute_error: 0.0051
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.3876e-04 - mean_absolute_error: 0.0089 17/126 [===>..........................] - ETA: 0s - loss: 1.5931e-04 - mean_absolute_error: 0.0090 39/126 [========>.....................] - ETA: 0s - loss: 1.4499e-04 - mean_absolute_error: 0.0089 59/126 [=============>................] - ETA: 0s - loss: 1.4925e-04 - mean_absolute_error: 0.0089 80/126 [==================>...........] - ETA: 0s - loss: 1.3874e-04 - mean_absolute_error: 0.0087102/126 [=======================>......] - ETA: 0s - loss: 1.3253e-04 - mean_absolute_error: 0.0086122/126 [============================>.] - ETA: 0s - loss: 1.3698e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3851e-04 - mean_absolute_error: 0.0088 - val_loss: 8.5165e-05 - val_mean_absolute_error: 0.0076
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 2.6994e-04 - mean_absolute_error: 0.0138 19/126 [===>..........................] - ETA: 0s - loss: 1.4406e-04 - mean_absolute_error: 0.0094 40/126 [========>.....................] - ETA: 0s - loss: 1.5313e-04 - mean_absolute_error: 0.0097 64/126 [==============>...............] - ETA: 0s - loss: 1.4839e-04 - mean_absolute_error: 0.0093 87/126 [===================>..........] - ETA: 0s - loss: 1.5716e-04 - mean_absolute_error: 0.0095113/126 [=========================>....] - ETA: 0s - loss: 1.5250e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5057e-04 - mean_absolute_error: 0.0094 - val_loss: 4.7851e-05 - val_mean_absolute_error: 0.0055
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 9.8146e-05 - mean_absolute_error: 0.0063 17/126 [===>..........................] - ETA: 0s - loss: 1.2500e-04 - mean_absolute_error: 0.0086 35/126 [=======>......................] - ETA: 0s - loss: 1.4188e-04 - mean_absolute_error: 0.0088 58/126 [============>.................] - ETA: 0s - loss: 1.2829e-04 - mean_absolute_error: 0.0084 84/126 [===================>..........] - ETA: 0s - loss: 1.3379e-04 - mean_absolute_error: 0.0086109/126 [========================>.....] - ETA: 0s - loss: 1.3760e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.3484e-04 - mean_absolute_error: 0.0087 - val_loss: 1.0994e-04 - val_mean_absolute_error: 0.0088
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 3.0067e-04 - mean_absolute_error: 0.0149 23/126 [====>.........................] - ETA: 0s - loss: 2.6645e-04 - mean_absolute_error: 0.0128 49/126 [==========>...................] - ETA: 0s - loss: 2.0526e-04 - mean_absolute_error: 0.0109 76/126 [=================>............] - ETA: 0s - loss: 1.8323e-04 - mean_absolute_error: 0.0103102/126 [=======================>......] - ETA: 0s - loss: 1.7060e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 2ms/step - loss: 1.6232e-04 - mean_absolute_error: 0.0097 - val_loss: 7.5548e-05 - val_mean_absolute_error: 0.0071
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 1.1153e-04 - mean_absolute_error: 0.0085 19/126 [===>..........................] - ETA: 0s - loss: 1.2986e-04 - mean_absolute_error: 0.0087 42/126 [=========>....................] - ETA: 0s - loss: 1.3729e-04 - mean_absolute_error: 0.0087 66/126 [==============>...............] - ETA: 0s - loss: 1.3818e-04 - mean_absolute_error: 0.0087 92/126 [====================>.........] - ETA: 0s - loss: 1.3175e-04 - mean_absolute_error: 0.0086117/126 [==========================>...] - ETA: 0s - loss: 1.3647e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.4405e-04 - mean_absolute_error: 0.0089 - val_loss: 5.3172e-05 - val_mean_absolute_error: 0.0058
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 1.3786e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.2791e-04 - mean_absolute_error: 0.0083 43/126 [=========>....................] - ETA: 0s - loss: 1.2895e-04 - mean_absolute_error: 0.0085 69/126 [===============>..............] - ETA: 0s - loss: 1.3289e-04 - mean_absolute_error: 0.0087 95/126 [=====================>........] - ETA: 0s - loss: 1.3312e-04 - mean_absolute_error: 0.0088121/126 [===========================>..] - ETA: 0s - loss: 1.4113e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 2ms/step - loss: 1.4231e-04 - mean_absolute_error: 0.0090 - val_loss: 1.3967e-04 - val_mean_absolute_error: 0.0101
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 3.4304e-04 - mean_absolute_error: 0.0139 21/126 [====>.........................] - ETA: 0s - loss: 1.3088e-04 - mean_absolute_error: 0.0085 46/126 [=========>....................] - ETA: 0s - loss: 1.6795e-04 - mean_absolute_error: 0.0093 72/126 [================>.............] - ETA: 0s - loss: 2.0621e-04 - mean_absolute_error: 0.0108 98/126 [======================>.......] - ETA: 0s - loss: 2.1028e-04 - mean_absolute_error: 0.0110122/126 [============================>.] - ETA: 0s - loss: 2.0449e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 3ms/step - loss: 2.0274e-04 - mean_absolute_error: 0.0109 - val_loss: 6.9034e-05 - val_mean_absolute_error: 0.0068
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 1.2451e-04 - mean_absolute_error: 0.0092 21/126 [====>.........................] - ETA: 0s - loss: 1.4690e-04 - mean_absolute_error: 0.0096 46/126 [=========>....................] - ETA: 0s - loss: 1.3094e-04 - mean_absolute_error: 0.0090 73/126 [================>.............] - ETA: 0s - loss: 1.2683e-04 - mean_absolute_error: 0.0086 97/126 [======================>.......] - ETA: 0s - loss: 1.3212e-04 - mean_absolute_error: 0.0086121/126 [===========================>..] - ETA: 0s - loss: 1.3995e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 2ms/step - loss: 1.3965e-04 - mean_absolute_error: 0.0089 - val_loss: 4.3656e-05 - val_mean_absolute_error: 0.0049
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 1.2579e-04 - mean_absolute_error: 0.0085 27/126 [=====>........................] - ETA: 0s - loss: 1.2082e-04 - mean_absolute_error: 0.0086 54/126 [===========>..................] - ETA: 0s - loss: 1.3290e-04 - mean_absolute_error: 0.0089 77/126 [=================>............] - ETA: 0s - loss: 1.2972e-04 - mean_absolute_error: 0.0088103/126 [=======================>......] - ETA: 0s - loss: 1.5308e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 2ms/step - loss: 1.4555e-04 - mean_absolute_error: 0.0091 - val_loss: 4.3640e-05 - val_mean_absolute_error: 0.0049
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.1926e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.1799e-04 - mean_absolute_error: 0.0083 48/126 [==========>...................] - ETA: 0s - loss: 1.4344e-04 - mean_absolute_error: 0.0089 75/126 [================>.............] - ETA: 0s - loss: 1.3665e-04 - mean_absolute_error: 0.0087102/126 [=======================>......] - ETA: 0s - loss: 1.3083e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 2ms/step - loss: 1.2854e-04 - mean_absolute_error: 0.0085 - val_loss: 4.3459e-05 - val_mean_absolute_error: 0.0050
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 7.6002e-05 - mean_absolute_error: 0.0064 21/126 [====>.........................] - ETA: 0s - loss: 1.0305e-04 - mean_absolute_error: 0.0079 46/126 [=========>....................] - ETA: 0s - loss: 1.2124e-04 - mean_absolute_error: 0.0082 72/126 [================>.............] - ETA: 0s - loss: 1.2600e-04 - mean_absolute_error: 0.0084 98/126 [======================>.......] - ETA: 0s - loss: 1.2185e-04 - mean_absolute_error: 0.0083124/126 [============================>.] - ETA: 0s - loss: 1.2534e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 2ms/step - loss: 1.2481e-04 - mean_absolute_error: 0.0084 - val_loss: 1.2316e-04 - val_mean_absolute_error: 0.0095
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.3960e-04 - mean_absolute_error: 0.0138 21/126 [====>.........................] - ETA: 0s - loss: 1.2313e-04 - mean_absolute_error: 0.0083 46/126 [=========>....................] - ETA: 0s - loss: 1.4919e-04 - mean_absolute_error: 0.0092 73/126 [================>.............] - ETA: 0s - loss: 1.5252e-04 - mean_absolute_error: 0.0094 98/126 [======================>.......] - ETA: 0s - loss: 1.5175e-04 - mean_absolute_error: 0.0094124/126 [============================>.] - ETA: 0s - loss: 1.5873e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 2ms/step - loss: 1.5882e-04 - mean_absolute_error: 0.0096 - val_loss: 4.7448e-05 - val_mean_absolute_error: 0.0054
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 8.0720e-05 - mean_absolute_error: 0.0075 23/126 [====>.........................] - ETA: 0s - loss: 1.0386e-04 - mean_absolute_error: 0.0079 48/126 [==========>...................] - ETA: 0s - loss: 1.1777e-04 - mean_absolute_error: 0.0083 74/126 [================>.............] - ETA: 0s - loss: 1.2952e-04 - mean_absolute_error: 0.0084101/126 [=======================>......] - ETA: 0s - loss: 1.2501e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.2355e-04 - mean_absolute_error: 0.0083 - val_loss: 5.1427e-05 - val_mean_absolute_error: 0.0057
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 1.2586e-04 - mean_absolute_error: 0.0082 24/126 [====>.........................] - ETA: 0s - loss: 1.1640e-04 - mean_absolute_error: 0.0083 51/126 [===========>..................] - ETA: 0s - loss: 1.3192e-04 - mean_absolute_error: 0.0087 78/126 [=================>............] - ETA: 0s - loss: 1.2340e-04 - mean_absolute_error: 0.0085105/126 [========================>.....] - ETA: 0s - loss: 1.2502e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 2ms/step - loss: 1.4148e-04 - mean_absolute_error: 0.0090 - val_loss: 8.2662e-05 - val_mean_absolute_error: 0.0076
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.1102e-04 - mean_absolute_error: 0.0088 25/126 [====>.........................] - ETA: 0s - loss: 1.6398e-04 - mean_absolute_error: 0.0102 52/126 [===========>..................] - ETA: 0s - loss: 1.6004e-04 - mean_absolute_error: 0.0098 72/126 [================>.............] - ETA: 0s - loss: 1.5722e-04 - mean_absolute_error: 0.0095 95/126 [=====================>........] - ETA: 0s - loss: 1.5396e-04 - mean_absolute_error: 0.0094120/126 [===========================>..] - ETA: 0s - loss: 1.4697e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.4427e-04 - mean_absolute_error: 0.0091 - val_loss: 5.6524e-05 - val_mean_absolute_error: 0.0061
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 1.2131e-04 - mean_absolute_error: 0.0091 23/126 [====>.........................] - ETA: 0s - loss: 1.5716e-04 - mean_absolute_error: 0.0097 49/126 [==========>...................] - ETA: 0s - loss: 1.6979e-04 - mean_absolute_error: 0.0099 75/126 [================>.............] - ETA: 0s - loss: 1.5854e-04 - mean_absolute_error: 0.0094101/126 [=======================>......] - ETA: 0s - loss: 1.4814e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 2ms/step - loss: 1.4180e-04 - mean_absolute_error: 0.0090 - val_loss: 4.2701e-05 - val_mean_absolute_error: 0.0050
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 1.2008e-04 - mean_absolute_error: 0.0085 19/126 [===>..........................] - ETA: 0s - loss: 1.1594e-04 - mean_absolute_error: 0.0084 43/126 [=========>....................] - ETA: 0s - loss: 1.5264e-04 - mean_absolute_error: 0.0093 70/126 [===============>..............] - ETA: 0s - loss: 1.4409e-04 - mean_absolute_error: 0.0090 96/126 [=====================>........] - ETA: 0s - loss: 1.4233e-04 - mean_absolute_error: 0.0090122/126 [============================>.] - ETA: 0s - loss: 1.3547e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 2ms/step - loss: 1.3912e-04 - mean_absolute_error: 0.0089 - val_loss: 5.4170e-05 - val_mean_absolute_error: 0.0059
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.0273e-04 - mean_absolute_error: 0.0071 21/126 [====>.........................] - ETA: 0s - loss: 1.2473e-04 - mean_absolute_error: 0.0086 45/126 [=========>....................] - ETA: 0s - loss: 1.3290e-04 - mean_absolute_error: 0.0087 71/126 [===============>..............] - ETA: 0s - loss: 1.3363e-04 - mean_absolute_error: 0.0087 96/126 [=====================>........] - ETA: 0s - loss: 1.3447e-04 - mean_absolute_error: 0.0088119/126 [===========================>..] - ETA: 0s - loss: 1.3111e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 3ms/step - loss: 1.2980e-04 - mean_absolute_error: 0.0086 - val_loss: 1.1403e-04 - val_mean_absolute_error: 0.0091
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.3712e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 1.4964e-04 - mean_absolute_error: 0.0095 50/126 [==========>...................] - ETA: 0s - loss: 1.2887e-04 - mean_absolute_error: 0.0087 75/126 [================>.............] - ETA: 0s - loss: 1.2185e-04 - mean_absolute_error: 0.0085 99/126 [======================>.......] - ETA: 0s - loss: 1.3709e-04 - mean_absolute_error: 0.0088125/126 [============================>.] - ETA: 0s - loss: 1.3113e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 2ms/step - loss: 1.3104e-04 - mean_absolute_error: 0.0086 - val_loss: 9.8441e-05 - val_mean_absolute_error: 0.0084
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 1.6938e-04 - mean_absolute_error: 0.0108 21/126 [====>.........................] - ETA: 0s - loss: 1.4981e-04 - mean_absolute_error: 0.0088 45/126 [=========>....................] - ETA: 0s - loss: 1.6194e-04 - mean_absolute_error: 0.0092 70/126 [===============>..............] - ETA: 0s - loss: 1.4386e-04 - mean_absolute_error: 0.0088 95/126 [=====================>........] - ETA: 0s - loss: 1.4649e-04 - mean_absolute_error: 0.0091118/126 [===========================>..] - ETA: 0s - loss: 1.4353e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4184e-04 - mean_absolute_error: 0.0090 - val_loss: 5.1863e-05 - val_mean_absolute_error: 0.0058
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.0787e-04 - mean_absolute_error: 0.0085 23/126 [====>.........................] - ETA: 0s - loss: 1.2681e-04 - mean_absolute_error: 0.0089 49/126 [==========>...................] - ETA: 0s - loss: 2.0021e-04 - mean_absolute_error: 0.0110 76/126 [=================>............] - ETA: 0s - loss: 2.1186e-04 - mean_absolute_error: 0.0114103/126 [=======================>......] - ETA: 0s - loss: 1.8660e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 2ms/step - loss: 1.7836e-04 - mean_absolute_error: 0.0102 - val_loss: 4.7622e-05 - val_mean_absolute_error: 0.0054
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 1.1437e-04 - mean_absolute_error: 0.0079 23/126 [====>.........................] - ETA: 0s - loss: 1.2670e-04 - mean_absolute_error: 0.0087 49/126 [==========>...................] - ETA: 0s - loss: 1.1958e-04 - mean_absolute_error: 0.0085 76/126 [=================>............] - ETA: 0s - loss: 1.2540e-04 - mean_absolute_error: 0.0084101/126 [=======================>......] - ETA: 0s - loss: 1.2563e-04 - mean_absolute_error: 0.0085126/126 [==============================] - ETA: 0s - loss: 1.2806e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 2ms/step - loss: 1.2806e-04 - mean_absolute_error: 0.0085 - val_loss: 5.2993e-05 - val_mean_absolute_error: 0.0059
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 1.2627e-04 - mean_absolute_error: 0.0083 23/126 [====>.........................] - ETA: 0s - loss: 1.0348e-04 - mean_absolute_error: 0.0078 47/126 [==========>...................] - ETA: 0s - loss: 1.0394e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.1089e-04 - mean_absolute_error: 0.0079100/126 [======================>.......] - ETA: 0s - loss: 1.2638e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.2295e-04 - mean_absolute_error: 0.0083 - val_loss: 4.8548e-05 - val_mean_absolute_error: 0.0055
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 9.6560e-05 - mean_absolute_error: 0.0075 23/126 [====>.........................] - ETA: 0s - loss: 1.3095e-04 - mean_absolute_error: 0.0089 49/126 [==========>...................] - ETA: 0s - loss: 1.3577e-04 - mean_absolute_error: 0.0091 75/126 [================>.............] - ETA: 0s - loss: 1.3025e-04 - mean_absolute_error: 0.0088101/126 [=======================>......] - ETA: 0s - loss: 1.3807e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 2ms/step - loss: 1.3726e-04 - mean_absolute_error: 0.0088 - val_loss: 5.5398e-05 - val_mean_absolute_error: 0.0060
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 1.4646e-04 - mean_absolute_error: 0.0093 21/126 [====>.........................] - ETA: 0s - loss: 1.4822e-04 - mean_absolute_error: 0.0093 45/126 [=========>....................] - ETA: 0s - loss: 1.2635e-04 - mean_absolute_error: 0.0084 70/126 [===============>..............] - ETA: 0s - loss: 1.3711e-04 - mean_absolute_error: 0.0089 97/126 [======================>.......] - ETA: 0s - loss: 1.3032e-04 - mean_absolute_error: 0.0088123/126 [============================>.] - ETA: 0s - loss: 1.3655e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 2ms/step - loss: 1.3730e-04 - mean_absolute_error: 0.0089 - val_loss: 1.0874e-04 - val_mean_absolute_error: 0.0089
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 1.9323e-04 - mean_absolute_error: 0.0106 24/126 [====>.........................] - ETA: 0s - loss: 1.1869e-04 - mean_absolute_error: 0.0082 50/126 [==========>...................] - ETA: 0s - loss: 1.1900e-04 - mean_absolute_error: 0.0083 77/126 [=================>............] - ETA: 0s - loss: 1.1434e-04 - mean_absolute_error: 0.0081103/126 [=======================>......] - ETA: 0s - loss: 1.2684e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 2ms/step - loss: 1.2736e-04 - mean_absolute_error: 0.0085 - val_loss: 7.2639e-05 - val_mean_absolute_error: 0.0071
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.7570e-04 - mean_absolute_error: 0.0108 24/126 [====>.........................] - ETA: 0s - loss: 1.2630e-04 - mean_absolute_error: 0.0086 51/126 [===========>..................] - ETA: 0s - loss: 1.1840e-04 - mean_absolute_error: 0.0082 77/126 [=================>............] - ETA: 0s - loss: 1.1630e-04 - mean_absolute_error: 0.0082102/126 [=======================>......] - ETA: 0s - loss: 1.1910e-04 - mean_absolute_error: 0.0082124/126 [============================>.] - ETA: 0s - loss: 1.2262e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.2345e-04 - mean_absolute_error: 0.0083 - val_loss: 4.0478e-05 - val_mean_absolute_error: 0.0047
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 9.2963e-05 - mean_absolute_error: 0.0071 24/126 [====>.........................] - ETA: 0s - loss: 1.4954e-04 - mean_absolute_error: 0.0095 49/126 [==========>...................] - ETA: 0s - loss: 1.4115e-04 - mean_absolute_error: 0.0089 73/126 [================>.............] - ETA: 0s - loss: 1.3109e-04 - mean_absolute_error: 0.0086 99/126 [======================>.......] - ETA: 0s - loss: 1.3246e-04 - mean_absolute_error: 0.0087123/126 [============================>.] - ETA: 0s - loss: 1.3132e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 2ms/step - loss: 1.3017e-04 - mean_absolute_error: 0.0086 - val_loss: 7.2216e-05 - val_mean_absolute_error: 0.0070
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 8.6932e-05 - mean_absolute_error: 0.0074 26/126 [=====>........................] - ETA: 0s - loss: 1.4391e-04 - mean_absolute_error: 0.0089 51/126 [===========>..................] - ETA: 0s - loss: 1.2702e-04 - mean_absolute_error: 0.0085 77/126 [=================>............] - ETA: 0s - loss: 1.2038e-04 - mean_absolute_error: 0.0083104/126 [=======================>......] - ETA: 0s - loss: 1.2189e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1897e-04 - mean_absolute_error: 0.0082 - val_loss: 4.9296e-05 - val_mean_absolute_error: 0.0056

<keras.src.callbacks.History at 0x253cc61a7d0>

After the training and fitting of the Machine Learning model for Switzerland, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Switzerland with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
switzerland_train_pred = switzerland_model.predict(X_switzerland_train).flatten()

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Training Set Predictions vs. Observations")
plt.show()

switzerland_val_pred = switzerland_model.predict(X_switzerland_val).flatten()

plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Validation Set Predictions vs. Observations")
plt.show()

switzerland_test_pred = switzerland_model.predict(X_switzerland_test).flatten()

plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Testing Set Predictions vs. Observations")
plt.show()
```

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Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Switzerland’s international currency rate with the United States.

```{python}
# Plotting Switzerland's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Switzerland's Dataset - Predictions vs. Observations")
plt.show()
```

To put it all together, I made one large visualization to encompass all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")

plt.plot(dates_canada_train, canada_train_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_train, y_canada_train, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_val, canada_val_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_val, y_canada_val, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_test, canada_test_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_test, y_canada_test, linewidth=1, linestyle="dashed")

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1, linestyle="dotted")

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1, linestyle="dashdot")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of All Four Countries' Datasets - Predictions vs. Observations")
plt.show()
```

Ultimately, here is the moment of truth: I tried to recursively predict Austrailia’s future expected projection on its international currency rate between the United States through using my LSTM prediction model as shown below. By using the data from the training dataset for Austrailia, I tried to contrast the effectiveness of the model by constrasting its projection to the actual validation and testing data results. However, unfortunately, it did not predict as well as I hoped, but this was a good experiment, nonetheless.

```{python}
# Attempt at using the model to predict into the future for Austrailia's currency 
# rate
recursive_pred: list = []
recursive_dates = np.concatenate([dates_austrailia_val, dates_austrailia_test])

for target_date in recursive_dates:
    last_window = deepcopy(X_austrailia_train[-1])
    next_pred = austrailia_model.predict(np.array([last_window])).flatten()
    recursive_pred.append(next_pred)
    last_window[-1] = next_pred
```

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To visualize the results of my recursive prediction that I completed, I added these results to the previous large visualization that encompassed all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) along with the new recursive prediction
# results
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")
plt.plot(recursive_dates, recursive_pred, linewidth=4, linestyle="solid")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations",
            "Recursive Predictions"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations (With Recursive Pred. Attempt)")
plt.show()
```

Conclusions

• Returning to my attempt to test the ability for my Machine Learning model to predict the International Currency rates for Austrailia from just the range of my training dataset as shown above, I felt that its prediction was acceptable in my opinion giving the averaging across the currency rate values in my validation and testing datasets would have proven to be considerably close in its precision.

• Thus, I reached the conclusion that my International Currency Predictor would not be a viable Machine Learning model for any real-life applications. This Machine Learning model raised a valuable point - financial market prediction is a difficult endeavor to accurately predict. From a more general point of view, this International Currency Maching Learning prediction model is not totally inaccurate or untrustworthy but rather it is only on the micro-scale. These financial predictions do not always account for current events in that respective country such as changing domestic or international relations or constantly changing socioeconomic trends which could significantly sway market confidence and impact currency rate fluctuation. Consequently, economists often have to look at larger economic trends across several decades in order to make more educated predictions.

• Ultimately, I learned a great deal about the complexities of financial prediction and usage of Machine Learning models as an attempt to solve this issue. Even though my model was not as successful at predicting as I would have hoped, I am interested to see the future of Machine Learning as it soon dominates these economic sub-field and continues to rise in its relevance by being a pivotal talking point for the future and applied soon enough to other sectors of our society.

Reference Sources and Citations (IEEE Format)

To complete this blog post, I used the following online sources as references for developing this:

[1] US International Exchange Rates Dataset:

B. Ferreira, “Foreign Exchange Rates 2000-2019”, 2019. [Online]. Available: https://www.kaggle.com/datasets/brunotly/foreign-exchange-rates-per-dollar-20002019. [Accessed: 04-Sep.-2023].

[2] Tutorial on Basics of LSTM and Prediction & Forecasting in Machine Learning:

Greg Hogg, “Stock Price Prediction & Forecasting with LSTM Neural Networks in Python”, YouTube, 26-Mar.-2022. [Online.] Available: https://www.youtube.com/watch?v=CbTU92pbDKw. [Accessed: 06-Sep.-2023].